Federated Learning for Wireless Networks
暫譯: 無線網路的聯邦學習

第一部分 基礎與背景
1 介紹
2 聯邦學習的基本原理

第二部分 無線聯邦學習：設計與分析
3 無線聯邦學習的資源優化
4 聯邦學習的激勵機制
5 安全性與隱私
6 無監督聯邦學習

第三部分 無線網路中的聯邦學習應用
7 無線虛擬實境
8 車輛網路與自駕車
9 智慧產業與智能反射表面

Choong Seon Hong is currently a Professor with the Department of Computer Science and Engineering, Kyung Hee University. His research interests include the AI networking, machine learning, edge computing. He is senior member of IEEE, and a member of ACM, IEICE, IPSJ, KIISE, KICS, KIPS, and OSIA. He has served as the General Chair, a TPC Chair/Member, or an Organizing Committee Member for international conferences such as NOMS, IM, APNOMS, E2EMON, CCNC, ADSN, ICPP, DIM, WISA, BcN, TINA, SAINT, and ICOIN. In addition, he was an Associate Editor of the Journal of Communications and Networks, IEEE Transactions on Networks and Service Management and an Associate Technical Editor of the IEEE Communications Magazine. He is currently an associate editor of the International Journal of Network Management, and Future Internet.

Latif U. Khan is currently pursuing the Ph.D. degree in computer engineering with Kyung Hee University (KHU), South Korea. His research interests include analytical techniques of optimization and game theory to edge computing, and end-to-end network slicing. He is also working as a Leading Researcher with the Intelligent Networking Laboratory under a project jointly funded by the prestigious Brain Korea 21st Century Plus and Ministry of Science and ICT, South Korea. Prior to joining the KHU, he has served as a Faculty Member and a Research Associate with UET, Peshawar, Pakistan. He has published his works in highly reputable conferences and journals.

Mingzhe Chen is currently a Post-Doctoral Researcher at the Electrical Engineering Department, Princeton University and at the Chinese University of Hong Kong, Shenzhen, China. From 2016 to 2019, he was a Visiting Researcher at the Department of Electrical and Computer Engineering, Virginia Tech. His research interests include federated learning, reinforcement learning, virtual reality, unmanned aerial vehicles, and wireless networks. He was a recipient of the IEEE International Conference on Communications (ICC) 2020 Best Paper Award. He was an exemplary reviewer for IEEE Transactions on Wireless Communications in 2018 and IEEE Transactions on Communications in 2018 and 2019.

Dawei Chen is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA. His research interests include machine learning, edge/cloud computing, and wireless networks.

Walid Saad is currently a Professor with the Department of Electrical and Computer Engineering, Virginia Tech, where he leads the Network Science, Wireless, and Security (NEWS) Laboratory. His research interests include wireless networks, machine learning, game theory, security, unmanned aerial vehicles, cyber-physical systems, and network science. He is an IEEE fellow and IEEE Distinguished Lecturer. He was a recipient of the NSF CAREER Award in 2013, the AFOSR Summer Faculty Fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author or coauthor of eight conference best paper awards such as WiOpt in 2009, ICIMP in 2010, the IEEE WCNC in 2012, the IEEE PIMRC in 2015, the IEEE SmartGridComm in 2015, EuCNC in 2017, the IEEE GLOBECOM in 2018, and IFIP NTMS in 2019. He was also the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, the 2017 IEEE ComSoc Best Young Professional in Academia Award, the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, and the 2019 IEEE ComSoc Communication Theory Technical Committee. From 2015 to 2017, he was named as the Stephen O. Lane Junior Faculty Fellow at Virginia Tech, and he was named as the College of Engineering Faculty Fellow in 2017. He received the Dean's Award for Research Excellence from Virginia Tech in 2019. He currently serves as an Editor for the IEEE Transactions on Wireless Communications, the IEEE Transactions on Mobile Computing, and the IEEE Transactions on Cognitive Communications and Networking. He is an Editor-at-Large for the IEEE Transactions on Communications.

Zhu Han is currently a John and Rebecca Moores Professor with the Electrical and Computer Engineering Department, University of Houston, TX, USA, and also with in the Computer Science Department, University of Houston. He is also a Chair Professor with National Chiao Tung University. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, big data analysis, security, and smart grid. He has been an AAAS Fellow since 2019 and has also been an ACM Distinguished Member since 2019. He received an NSF Career Award, in 2010, the Fred W. Ellersick Prize of the IEEE Communication Society, in 2011, the EURASIP Best Paper Award for the Journal on Advances in Signal Processing, in 2015, the IEEE Leonard G. Abraham Prize in the field of communications systems (Best Paper Award in IEEE JSAC), in 2016, and several best paper awards in IEEE conferences. He was an IEEE Communications Society Distinguished Lecturer from 2015 to 2018. He has been a 1% Highly Cited Researcher since 2017 according to Web of Science. He is now an IEEE fellow

洪忠璇目前是京畿大學計算機科學與工程系的教授。他的研究興趣包括人工智慧網絡、機器學習和邊緣計算。他是IEEE的資深會員，並且是ACM、IEICE、IPSJ、KIISE、KICS、KIPS和OSIA的會員。他曾擔任NOMS、IM、APNOMS、E2EMON、CCNC、ADSN、ICPP、DIM、WISA、BcN、TINA、SAINT和ICOIN等國際會議的總主席、技術程序委員會主席/成員或組織委員會成員。此外，他曾擔任《通訊與網絡期刊》的副編輯、《IEEE網絡與服務管理期刊》的副編輯，以及《IEEE通訊雜誌》的副技術編輯。目前，他是《國際網絡管理期刊》和《未來互聯網》的副編輯。

拉提夫·U·汗目前在京畿大學（KHU）攻讀計算機工程博士學位。他的研究興趣包括優化和博弈論的分析技術在邊緣計算和端到端網絡切片中的應用。他還擔任智能網絡實驗室的首席研究員，該項目由著名的Brain Korea 21st Century Plus和韓國科學技術部共同資助。在加入KHU之前，他曾在巴基斯坦白沙瓦的UET擔任教職和研究助理。他的研究成果已發表在多個高聲望的會議和期刊上。

陳名哲目前是普林斯頓大學電機工程系和中國香港中文大學（深圳）的博士後研究員。從2016年到2019年，他在維吉尼亞理工大學的電氣與計算機工程系擔任訪問研究員。他的研究興趣包括聯邦學習、強化學習、虛擬現實、無人機和無線網絡。他曾獲得2020年IEEE國際通訊會議（ICC）最佳論文獎。他在2018年和2019年分別擔任IEEE無線通訊期刊和IEEE通訊期刊的優秀審稿人。

陳大偉目前在美國德克薩斯州休斯頓的休斯頓大學電氣與計算機工程系攻讀博士學位。他的研究興趣包括機器學習、邊緣/雲計算和無線網絡。

瓦利德·薩阿德目前是維吉尼亞理工大學電氣與計算機工程系的教授，並領導網絡科學、無線和安全（NEWS）實驗室。他的研究興趣包括無線網絡、機器學習、博弈論、安全、無人機、網絡物理系統和網絡科學。他是IEEE的會士和IEEE傑出講者。他曾於2013年獲得NSF CAREER獎，2014年獲得AFOSR夏季教職員獎學金，2015年獲得海軍研究辦公室（ONR）的青年研究者獎。他是2009年WiOpt、2010年ICIMP、2012年IEEE WCNC、2015年IEEE PIMRC、2015年IEEE SmartGridComm、2017年EuCNC、2018年IEEE GLOBECOM和2019年IFIP NTMS等八個會議最佳論文獎的作者或合著者。他還於2015年獲得IEEE通訊學會的Fred W. Ellersick獎，2017年獲得IEEE ComSoc最佳青年專業學者獎，2018年獲得IEEE ComSoc無線通訊委員會早期成就獎，以及2019年IEEE ComSoc通訊理論技術委員會的獎項。從2015年到2017年，他被評為維吉尼亞理工大學的Stephen O. Lane青年教職員獎學者，並於2017年被評為工程學院教職員獎學者。他於2019年獲得維吉尼亞理工大學的院長研究卓越獎。目前，他擔任IEEE無線通訊期刊、IEEE移動計算期刊和IEEE認知通訊與網絡期刊的編輯。他是IEEE通訊期刊的特約編輯。

韓竹目前是美國德克薩斯州休斯頓大學電氣與計算機工程系的John and Rebecca Moores教授，同時也是休斯頓大學計算機科學系的教授。他還是國立交通大學的講座教授。他的研究興趣包括無線資源分配與管理、無線通訊與網絡、博弈論、大數據分析、安全性和智能電網。他自2019年以來一直是美國科學促進會（AAAS）的會士，自2019年以來也是ACM的傑出會員。他於2010年獲得NSF Career獎，2011年獲得IEEE通訊學會的Fred W. Ellersick獎，2015年獲得EURASIP信號處理進展期刊最佳論文獎，2016年獲得IEEE通訊系統領域的Leonard G. Abraham獎（IEEE JSAC最佳論文獎），以及多個IEEE會議的最佳論文獎。他於2015年至2018年擔任IEEE通訊學會的傑出講者。根據Web of Science，他自2017年以來一直是1%的高被引研究者。他目前是IEEE會士。