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Design Guidelines On Trust Management for Underwater Wireless Sensor Networks IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-16 Rongxin Zhu, Azzedine Boukerche, Libo Long, Qiuling Yang
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Evolution of RAN Architectures Towards 6G: Motivation, Development, and Enabling Technologies IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-15 Jiacheng Chen, Xiaohu Liang, Jianzhe Xue, Yu Sun, Haibo Zhou, Xuemin Shen
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A Tutorial On Near-Field XL-MIMO Communications Towards 6G IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-12 Haiquan Lu, Yong Zeng, Changsheng You, Yu Han, Jiayi Zhang, Zhe Wang, Zhenjun Dong, Shi Jin, Cheng-Xiang Wang, Tao Jiang, Xiaohu You, Rui Zhang
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A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-10 Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Chin-Teng Lin
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A Survey on Random Access Protocols in Direct-Access LEO Satellite-Based IoT Communication IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-09 Thien Thi Thanh Le, Naveed UL Hassan, Xiaoming Chen, Mohamed-Slim Alouini, Zhu Han, Chau Yuen
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Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-08 Wei Jiang, Qiuheng Zhou, Jiguang He, Mohammad Asif Habibi, Sergiy Melnyk, Mohammed El-Absi, Bin Han, Marco Di Renzo, Hans Dieter Schotten, Fa-Long Luo, Tarek S. El-Bawab, Markku Juntti, Mérouane Debbah, Victor C. M. Leung
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Wireless Access for V2X Communications: Research, Challenges and Opportunities IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-04-01 Joseph Clancy, Darragh Mullins, Brian Deegan, Jonathan Horgan, Enda Ward, Ciarán Eising, Patrick Denny, Edward Jones, Martin Glavin
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Beam Alignment in MmWave V2X Communications: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-29 Jingru Tan, Tom H. Luan, Wenbo Guan, Yuntao Wang, Haixia Peng, Yao Zhang, Dongmei Zhao, Ning Lu
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Survey on Unified Threat Management (UTM) Systems for Home Networks IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-28 Asif Siddiqui, Bhaskar P. Rimal, Martin Reisslein, Yong Wang
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A Tutorial on Radio System-Level Simulations With Emphasis on 3GPP 5G-Advanced and Beyond IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-27 Klaus Pedersen, Roberto Maldonado, Guillermo Pocovi, Enric Juan, Mads Lauridsen, István Z. Kovács, Mads Brix, Jeroen Wigard
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Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-25 Yan F. Coutinho, Ândrei Camponogara, Mateus de L. Filomeno, Marcello L. R. de Campos, Andrea M. Tonello, Moisés V. Ribeiro
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A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-18 Gabriel Antonio F. Rebello, Gustavo F. Camilo, Lucas Airam C. de Souza, Maria Potop-Butucaru, Marcelo Dias de Amorim, Miguel Elias M. Campista, Luís Henrique M. K. Costa
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Empowering Cloud Computing With Network Acceleration: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-14 Lorenzo Rosa, Luca Foschini, Antonio Corradi
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Security Analysis of Critical 5G Interfaces IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-13 Mohammed Mahyoub, AbdulAziz AbdulGhaffar, Emmanuel Alalade, Ezekiel Ndubisi, Ashraf Matrawy
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A Survey on Human Profile Information Inference via Wireless Signals IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-07 Qiuye He, Edwin Yang, Song Fang
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Securing the IoT Application Layer from an MQTT Protocol Perspective: Challenges and Research Prospects IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-04 Sujitha Lakshminarayana, Amit Praseed, P. Santhi Thilagam
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Network Slicing Based Learning Techniques for IoV in 5G and Beyond Networks IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-01 Wafa Hamdi, Chahrazed Ksouri, Hasan Bulut, Mohamed Mosbah
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Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-03-01 Sander Bastiaens, Morteza Alijani, Wout Joseph, David Plets
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Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-27 Xianhao Chen, Yiqin Deng, Haichuan Ding, Guanqiao Qu, Haixia Zhang, Pan Li, Yuguang Fang
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Editorial First Quarter 2024 IEEE Communications Surveys and Tutorials IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-26 Dusit Niyato
I welcome you to the first issue of the IEEE Communications Surveys and Tutorials in 2024. This issue includes 18 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications”, “Cyber Security”, “IoT and M2M”, “Vehicular and Sensor Communications”, “Internet Technologies”, “Network Virtualization” and “Network
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Frequency Selective Surface towards 6G Communication Systems: A Contemporary Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-23 Xuehan Chen, Jingjing Tan, Litian Kang, Fengxiao Tang, Ming Zhao, Nei Kato
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The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-19 Dong Pan, Gui-Lu Long, Liuguo Yin, Yu-Bo Sheng, Dong Ruan, Soon Xin Ng, Jianhua Lu, Lajos Hanzo
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Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-12 Malka N. Halgamuge
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A Tutorial On Environment-Aware Communications via Channel Knowledge Map for 6G IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-09 Yong Zeng, Junting Chen, Jie Xu, Di Wu, Xiaoli Xu, Shi Jin, Xiqi Gao, David Gesbert, Shuguang Cui, Rui Zhang
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Physical Layer Authentication and Security Design in the Machine Learning Era IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-08 Tiep M. Hoang, Alireza Vahid, Hoang Duong Tuan, Lajos Hanzo
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Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-07 Yichen Wan, Youyang Qu, Wei Ni, Yong Xiang, Longxiang Gao, Ekram Hossain
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A Survey of Quantum Internet Protocols From a Layered Perspective IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-05 Yuan Li, Hao Zhang, Chen Zhang, Tao Huang, F. Richard Yu
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A Survey of Beam Management for mmWave and THz Communications Towards 6G IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-02-05 Qing Xue, Chengwang Ji, Shaodan Ma, Jiajia Guo, Yongjun Xu, Qianbin Chen, Wei Zhang
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A Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-23 Yafeng Yin, Lei Xie, Zhiwei Jiang, Fu Xiao, Jiannong Cao, Sanglu Lu
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Revolutionizing Future Connectivity: A Contemporary Survey On AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-19 Shadab Mahboob, Lingjia Liu
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Hardware Security for Internet of Things Identity Assurance IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-17 André Cirne, Patrícia R. Sousa, João S. Resende, Luís Antunes
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Post-Quantum Blockchain Security for the Internet of Things: Survey and Research Directions IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-17 Hadi Gharavi, Jorge Granjal, Edmundo Monteiro
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Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-16 Joohyung Lee, Faranaksadat Solat, Tae Yeon Kim, H. Vincent Poor
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Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-12 Minrui Xu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Abbas Jamalipour, Dong In Kim, Xuemin Shen, Victor C. M. Leung, H. Vincent Poor
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A Systematic Survey On Security in Anonymity Networks: Vulnerabilities, Attacks, Defenses, and Formalization IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-04 Daichong Chao, Dawei Xu, Feng Gao, Chuan Zhang, Weiting Zhang, Liehuang Zhu
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A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2024-01-02 Zhe Wang, Jiayi Zhang, Hongyang Du, Dusit Niyato, Shuguang Cui, Bo Ai, Mérouane Debbah, Khaled B. Letaief, H. Vincent Poor
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AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-30 Guneet Kaur Walia, Mohit Kumar, Sukhpal Singh Gill
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to a prodigious amount of data requiring ever-increasing computations and services from cloud to the edge of the network. Fog/Edge computing is a promising and distributed computing paradigm that has drawn extensive
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Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-28 Xiang Cheng, Haotian Zhang, Jianan Zhang, Shijian Gao, Sijiang Li, Ziwei Huang, Lu Bai, Zonghui Yang, Xinhu Zheng, Liuqing Yang
In the era of sixth-generation (6G) wireless communications, integrated sensing and communications (ISAC) is recognized as a promising solution to upgrade the physical system by endowing wireless communications with sensing capability. Existing ISAC is mainly oriented to static scenarios with radio-frequency (RF) sensors being the primary participants, thus lacking a comprehensive environment feature
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A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-28 Hesham ElSawy, Ainur Zhaikhan, Mustafa A. Kishk, Mohamed-Slim Alouini
Connectivity is an important key performance indicator and a focal point of research in large-scale wireless networks. Due to path-loss attenuation of electromagnetic waves, direct wireless connectivity is limited to proximate devices. Nevertheless, connectivity among distant devices can still be attained through a sequence of consecutive multi-hop communication links, which enables routing and disseminating
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Editorial: Fourth Quarter 2023 IEEE Communications Surveys and Tutorials IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-21 Dusit Niyato
I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2023. This issue includes 25 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications”, “Cyber Security”, “IoT and M2M”, “Vehicular and Sensor Communications”, “Internet Technologies”, and “Network and Service Management
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Machine Learning for Healthcare Radars: Recent Progresses in Human Vital Sign Measurement and Activity Recognition IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-20 Shahzad Ahmed, Sung Ho Cho
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar sensors has enabled various healthcare applications, including vital sign monitoring, fall detection, gait analysis, activity recognition, fitness evaluation, and sleep monitoring. Machine learning (ML) is revolutionizing every domain, with radar-based healthcare being no exception. Progress in the field of healthcare
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Semantics-Empowered Communications: A Tutorial-Cum-Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-16 Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e.g., theories, applications, metrics and implementations) in both academia and industry. In this work, we primarily aim to provide a comprehensive survey on both the background and research taxonomy, as well as a detailed
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Federated Learning and Meta Learning: Approaches, Applications, and Directions IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-07 Xiaonan Liu, Yansha Deng, Arumugam Nallanathan, Mehdi Bennis
Over the past few years, significant advancements have been made in the field of machine learning (ML) to address resource management, interference management, autonomy, and decision-making in wireless networks. Traditional ML approaches rely on centralized methods, where data is collected at a central server for training. However, this approach poses a challenge in terms of preserving the data privacy
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To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream Processing IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-07 Espen Volnes, Thomas Plagemann, Vera Goebel
One of the most important issues in distributed data stream processing systems is using operator migration to handle highly variable workloads cost-efficiently and adapt to the needs at any given time on demand. Operator migration is a complex process involving changes in the state and stream management of a running query, typically without any data loss, and with as little disruption to the execution
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A Survey on Scheduling Techniques in Computing and Network Convergence IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-11-01 Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao
The computing demand for massive applications has led to the ubiquitous deployment of computing power. This trend results in the urgent need for higher-level computing resource scheduling services. The Computing and Network Convergence (CNC), a new type of infrastructure, has become a hot topic. To realize the visions of CNC, such as computing-network integration, ubiquitous collaboration, latency-free
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Seamless Connectivity: The Power of Integrating Power Line and Wireless Communications IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-27 Moisés V. Ribeiro, Mateus de L. Filomeno, Ândrei Camponogara, Thiago Rodrigues Oliveira, Túlio F. Moreira, Stefano Galli, H. Vincent Poor
Aimed at inspiring researchers and practitioners, this paper presents comprehensive and multidimensional discussions of the potential and benefits of integrating power line and wireless communication systems to enhance data communication in both indoor and outdoor environments. By systematically examining the strengths and weaknesses of power line and wireless communication systems, we first elucidate
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Physical Layer Security for Authentication, Confidentiality, and Malicious Node Detection: A Paradigm Shift in Securing IoT Networks IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-25 Elmehdi Illi, Marwa Qaraqe, Saud Althunibat, Abdullah Alhasanat, Moath Alsafasfeh, Marcus de Ree, Georgios Mantas, Jonathan Rodriguez, Waqas Aman, Saif Al-Kuwari
The pervasiveness of commercial Internet of Things (IoT) around the globe is expected to reach significant levels with the upcoming sixth generation of mobile networks (6G). Throughout the past years, wireless standardization units worldwide have been prominently active in the deployment and performance optimization of such IoT networks and fusing them with current and futuristic cellular networks
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Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-20 Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generation wireless systems. This led to a large body of research work that applies ML techniques to solve problems in different layers of the wireless transmission link. However, most of these applications rely on supervised learning which assumes that the source (training) and target (test) data are independent
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A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-13 Salabat Khan, Fei Luo, Zijian Zhang, Farhan Ullah, Farhan Amin, Syed Furqan Qadri, Md Belal Bin Heyat, Rukhsana Ruby, Lu Wang, Shamsher Ullah, Meng Li, Victor C. M. Leung, Kaishun Wu
Cyber-attacks are becoming more common against Internet users due to the increasing dependency on online communication in their daily lives. X.509 Public-Key Infrastructure (PKIX) is the most widely adopted and used system to secure online communications and digital identities. However, different attack vectors exist against the PKIX system, which attackers exploit to breach the security of the reliant
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Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-12 Yu Bai, Hui Zhao, Xin Zhang, Zheng Chang, Riku Jäntti, Kun Yang
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing research interest in recent years and are gradually being utilized in various aspects of our society. The growing complexity of UAV applications such as disaster management, plant protection, and environment monitoring, has resulted in escalating and stringent requirements for UAV networks that a single UAV cannot fulfill
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Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-10-10 Renjie Xu, Saiedeh Razavi, Rong Zheng
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable cameras for a variety of applications, e.g., law enforcement, emergency management, traffic control, and security surveillance, all facilitated by video analytics (VA). This trend is spurred by the rapid advancement of deep learning
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Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-27 Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
The emerging field of artificial intelligence of things (AIoT, AI+IoT) is driven by the widespread use of intelligent infrastructures and the impressive success of deep learning (DL). With the deployment of DL on various intelligent infrastructures featuring rich sensors and weak DL computing capabilities, a diverse range of AIoT applications has become possible. However, DL models are notoriously
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Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and Sub-THz Systems IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-26 Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Sara Pizzi, Anna Gaydamaka, Andrey Samuylov, Antonella Molinaro, Yevgeni Koucheryavy, Antonio Iera, Giuseppe Araniti
Multicasting in wireless access networks is a functionality that, by leveraging group communications, turns out to be essential for reducing the amount of resources needed to serve users requesting the same content. The support of this functionality in the modern 5G New Radio (NR) and future sub-Terahertz (sub-THz) 6G systems faces critical challenges related to the utilization of massive antenna arrays
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Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-26 Yulong Wang, Tong Sun, Shenghong Li, Xin Yuan, Wei Ni, Ekram Hossain, H. Vincent Poor
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have been gaining significant attention due to the rapidly growing applications of deep learning in communication networks. This survey provides a comprehensive overview of the recent advancements in the field of adversarial attack and defense techniques, with a focus on DNN-based classification models for communication
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Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-22 Qiang Duan, Jun Huang, Shijing Hu, Ruijun Deng, Zhihui Lu, Shui Yu
Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to developing UI lies in the involvement of the large number of network devices, which contribute their data to collaborative Machine Learning (ML) and provide their computational resources to support the learning process
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A Comprehensive Survey on Full-Duplex Communication: Current Solutions, Future Trends, and Open Issues IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-22 Mohammadali Mohammadi, Zahra Mobini, Diluka Galappaththige, Chintha Tellambura
Full-duplex (FD) communication is a potential game changer for future wireless networks. It allows for simultaneous transmit and receive operations over the same frequency band, a doubling of the spectral efficiency. FD can also be a catalyst for supercharging other existing/emerging wireless technologies, including cooperative and cognitive communications, cellular networks, multiple-input multiple-output
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Precoding for High-Throughput Satellite Communication Systems: A Survey IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-20 Malek Khammassi, Abla Kammoun, Mohamed-Slim Alouini
With the expanding demand for high data rates and extensive coverage, high throughput satellite (HTS) communication systems are emerging as a key technology for future communication generations. However, current frequency bands are increasingly congested. Until the maturity of communication systems to operate on higher bands, the solution is to exploit the already existing frequency bands more efficiently
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Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-19 Mohamed Amine Ferrag, Othmane Friha, Burak Kantarci, Norbert Tihanyi, Lucas Cordeiro, Merouane Debbah, Djallel Hamouda, Muna Al-Hawawreh, Kim-Kwang Raymond Choo
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE) applications and future networks (e.g., sixth-generation (6G) networks) has raised a number of operational challenges and limitations, for example in terms of security and privacy. Edge learning is an emerging approach to training models across distributed clients while ensuring data privacy. Such an approach
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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-09-15 Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the most common approach in the literature, where a central entity creates a global model. However, a centralized approach leads to increased latency due to bottlenecks, heightened vulnerability to system failures, and trustworthiness