SS-2.6
ON FEDERATED LEARNING WITH ENERGY HARVESTING CLIENTS
Cong Shen, University of Virginia, United States of America; Jing Yang, The Pennsylvania State University, United States of America; Jie Xu, University of Miami, United States of America
Session:
Signal Processing and Machine Learning for Energy Harvesting Communications
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC
Sun, 8 May, 13:00 - 13:45 UTC
Session Co-Chairs:
Himal A. Suraweera, University of Peradeniya and Bho Matthiesen, University of Bremen
Session SS-2
SS-2.1: WAVEFORM OPTIMIZATION FOR WIRELESS POWER TRANSFER WITH POWER AMPLIFIER AND ENERGY HARVESTER NON-LINEARITIES
Yumeng Zhang, Bruno Clerckx, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SS-2.2: ECONOMICS OF SEMANTIC COMMUNICATION SYSTEM IN WIRELESS POWERED INTERNET OF THINGS
Zi Qin Liew, Yanyu Cheng, Wei Yang Bryan Lim, Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological Univerity, Singapore, Singapore; Dusit Niyato, School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore; Chunyan Miao, Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological Univerity, Singapore and School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore; Sumei Sun, Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore, Singapore
SS-2.3: OPTIMAL RESOURCE ALLOCATION AND BEAMFORMING FOR TWO-USER MISO WPCNs FOR A NON-LINEAR CIRCUIT-BASED EH MODEL
Nikita Shanin, Moritz Garkisch, Robert Schober, Laura Cottatellucci, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Amelie Hagelauer, Fraunhofer EMFT Einrichtung für Mikrosysteme und Festkörper-Technologien; Technische Universität München, Germany
SS-2.4: Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks
Mingzhe Chen, H. Vincent Poor, Princeton University, United States of America; Yining Wang, Beijing University of Posts and Telecommunications, China
SS-2.5: DEEP LEARNING BASED PASSIVE BEAMFORMING FOR IRS-ASSISTED MONOSTATIC BACKSCATTER SYSTEMS
Sahar Idrees, Xiaolun Jia, Saud Khan, Salman Durrani, Xiangyun Zhou, Australian National University, Australia
SS-2.6: ON FEDERATED LEARNING WITH ENERGY HARVESTING CLIENTS
Cong Shen, University of Virginia, United States of America; Jing Yang, The Pennsylvania State University, United States of America; Jie Xu, University of Miami, United States of America