VIRTUAL PROGRAM
*All times are BRT (GMT-3)
THURSDAY, DECEMBER 8 09:00-10:30
Edge Learning 1
Time: 09:00-10:30 BRT
Clustered Federated Learning with Model Integration for Non-IID Data in Wireless Networks
Jingyi Wang and Zhongyuan Zhao (Beijing University of Posts and Telecommunications, China); Wei Hong (Beijing Xiaomi Mobile Software, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore); Zhiguo Ding (University of Manchester, United Kingdom (Great Britain))
Incentive Mechanism for Federated Learning based on Random Client Sampling
Hongyi Wu (The Chinese University of Hong Kong Shenzhen, China); Xiaoying Tang (The Chinese University of Hong Kong, Shenzhen, China); Ying Jun (Angela) Zhang (The Chinese University of Hong Kong, Hong Kong); Lin Gao (Harbin Institute of Technology, Shenzhen, China)
Joint Scheduling and Beamforming Design in Traffic-Aware RIS Aided MEC Network
Aichen Li and Yang Liu (Dalian University of Technology, China); Qingqing Wu (University of Macau, China); Qingjiang Shi (Tongji University, China); Jun Zhao (Nanyang Technological University, Singapore)
Federated Learning over LEO Satellite
Yiji Wang and Zou Cheng (Shanghaitech University, China); Dingzhu Wen and Yuanming Shi (ShanghaiTech University, China)
Simultaneous Federated Learning and Information Transmission Over Time-Varying MIMO Channels
Xufeng Liu (Beijing University of Posts and Telecommunications, China); Wanli Ni (Beijng University of Posts and Telecommunications, China); Hui Tian (Beijng University of posts and telecommunications, China); Yuan Wu (University of Macau, Macao)
THURSDAY, DECEMBER 8 10:30-12:00
Edge Learning 2
Time: 10:30-12:00 BRT
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
Zixuan Zhang (ShanghaiTech University, China); Yuning Jiang (EPFL, Switzerland); Yuanming Shi and Ye Shi (ShanghaiTech University, China); Wei Chen (Tsinghua University, China)
Image Semantic Communications: An Extended Rate-Distortion Theory Based Scheme
Wanjie Tong, Fangfang Liu, Zhengfen Sun, Yang Yang and Caili Guo (Beijing University of Posts and Telecommunications, China)
NPSR: Neural Network enabled Phase-Space Reconstruction for Wireless Channel Prediction
Hanhui Li (Shanghaitech University, China); Kai Li (School of Information Science and Technology, ShanghaiTech University, China); Jinhan Guo (Shanghaitech University, China); Yang Yang and Yong Zhou (ShanghaiTech University, China)
Joint Offloading and Resource Allocation with Partial Information for Multi-user Edge Computing
Yang Li, Xing Zhang, Yukun Sun and Junlin Liu (Beijing University of Posts and Telecommunications, China); Bo Lei (Beijing Research Institute China Telcom Beijing, China); Wenbo Wang (Beijing University of Posts and Telecommunications, China)
Security-aware Cooperative Caching via Deep Reinforcement Learning in Fog Radio Access Networks
Qi Chang, Baotian Fan and Yanxiang Jiang (Southeast University, China); Fu-Chun Zheng (University of York, United Kingdom (Great Britain) & Southeast University, China); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); Xiaohu You (National Mobile communication Research Lab., Southeast University, China)
THURSDAY, DECEMBER 8 14:00-15:30
Edge Learning 3
Time: 14:00-15:30 BRT
Call Mute Reduction by Reinforcement Learning Based Deployment of ROHC in Next Generation Networks
Swaraj Kumar (Samsung R&D Institute, India); Veerabhadrappa Gadag (Samsung Research Institute Bangalore, India); Vishal Murgai and Siva Kumar M (Samsung R&D Institute, Bengaluru, India)
Over-the-Air Gaussian Process Regression Based on Product of Experts
Koya Sato (The University of Electro-Communications, Japan)
A Demonstration of Over-the-Air Computation for Federated Edge Learning
Alphan ?ahin (University of South Carolina, USA)
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
Afsaneh Mahmoudi, José Mairton Barros da Silva, Jr. and Hossein Shokri Ghadikolaei (KTH Royal Institute of Technology, Sweden); Carlo Fischione (KTH, Sweden)
Blind Asynchronous Over-the-Air Federated Edge Learning
Seyedsaeed Razavikia, Jaume Anguera Peris and José Mairton Barros da Silva, Jr. (KTH Royal Institute of Technology, Sweden); Carlo Fischione (KTH, Sweden)
THURSDAY, DECEMBER 8 15:30-17:00
Edge Learning 4
Time: 15:30-17:00 BRT
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
Shoma Shimizu (Yokohama National University, Japan); Takayuki Nishio (Tokyo Institute of Technology, Japan); Shota Saito (Yokohama National University & SkillUp AI, Japan); Yoichi Hirose, Chen Yen-Hsiu and Shinichi Shirakawa (Yokohama National University, Japan)
Communication-Efficient Federated Bayesian Learning via Client Selection
Jiarong Yang and Yuan Liu (South China University of Technology, China); Rahif Kassab (King's College London, United Kingdom (Great Britain))
Evolutionary Deep Q Network for Collaborative Edge Caching
Ming Zhao, Zhenfeng Sun and Mohammad Reza Nakhai (King's College London, United Kingdom (Great Britain))
Joint Source-Channel Coding for Efficient Image Transmission: An Information Bottleneck Based Scheme
Lunan Sun, Caili Guo and Yang Yang (Beijing University of Posts and Telecommunications, China)
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning
Zhang Zezhong (The Chinese University of Hong Kong, Hong Kong); Guangxu Zhu (Shenzhen Research Institute of Big Data, China); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, China)