Keynote Speakers:
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Prof. Wei Yu, University of Toronto.
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Prof. Zhi Ding, University of California Davis.
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Prof. Walid Saad, Virginia Tech.
Presentation Sessions:
On-demand Program
Session 1: Edge Learning 1
Moderator: Mingzhe Chen
- Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation, Shaoming Huang and Yong Zhou (ShanghaiTech University, China); Ting Wang (East China Normal University & Shanghai Key Laboratory of Trustworthy Computing, China); Yuanming Shi (ShanghaiTech University, China)
- On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI, Francesco Pase, Marco Giordani and Michele Zorzi (University of Padova, Italy)
- Over-the-air Learning Rate Optimization for Federated Learning, Chunmei Xu (Southeast University, China); Shengheng Liu (Southeast University & Purple Mountain Laboratories, China); Yongming Huang (Southeast University, China); Chongwen Huang and Zhaoyang Zhang (Zhejiang University, China)
- Communication-efficient Federated Learning Through 1-Bit Compressive Sensing and Analog Aggregation, Xin Fan (Beijing Jiaotong University, China); Yue Wang (George Mason University, USA); Yan Huo (Beijing Jiaotong University, China); Zhi Tian (George Mason University, USA)
- Federated Learning in Multi-antenna Wireless Networks, Zhendong Song and Hongguang Sun (Northwest A&F University, China); Howard Yang (ZJU-UIUC Institute, China); Xijun Wang (Sun Yat-sen University, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore)
On-demand Program
Session 2: Edge Learning 2
Moderator: Shiqiang Wang
- Reconfigurable Intelligent Surface Assisted Federated Learning with Privacy Guarantee, Yuhan Yang and Yong Zhou (ShanghaiTech University, China); Ting Wang (East China Normal University & Shanghai Key Laboratory of Trustworthy Computing, China); Yuanming Shi (ShanghaiTech University, China)
- Optimal Design of Hybrid Federated and Centralized Learning in the Mobile Edge Computing Systems, Wei Hong (Beijing Xiaomi Mobile Software, China); Xueting Luo and Zhongyuan Zhao (Beijing University of Posts and Telecommunications, China); Mugen Peng (Beijing University of posts & Telecommunications, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore)
- An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration, Zheqi Zhu, Shuo Wan and Pingyi Fan (Tsinghua University, China); Khaled Letaief (Hong Kong University of Science and Technology, Hong Kong)
- Deep Reinforcement Learning for Offloading and Shunting in Hybrid Edge Computing Network, Jiadong Zhang, Wenxiao Shi, Ruidong Zhang and Sicheng Liu (Jilin University, China)
- Joint Resource Allocation for Efficient Federated Learning in Internet of Things Supported by Edge Computing, Jianyang Ren (Beijing University of Posts and Telecommunications, China); Junshuai Sun (China Mobile Research Institution, China); Hui Tian (Beijng university of posts and telecommunications, China); Wanli Ni (Beijng University of Posts and Telecommunications, China); Gaofeng Nie (Beijing University of Posts and Telecommunications, China); Yingying Wang (CMCC, China)
On-demand Program
Session 3: Edge Learning 3
Moderator: Zhaohui Yang
- Radio Environment Map Enhanced Intelligent Reflecting Surface Systems Beyond 5G, Kai Zhang, Jian Zhao, Pei Liu and Changchuan Yin (Beijing University of Posts and Telecommunications, China)
- Generative Machine Learning for Resource-Aware 5G and IoT Systems, Nico Piatkowski (Fraunhofer IAIS, Germany); Johannes S Mueller-Roemer (Fraunhofer Institute for Computer Graphics Research & TU Darmstadt, Germany); Peter Hasse (Fraunhofer FOKUS, Germany); Adam Bachorek (Fraunhofer IESE, Germany); Tim Werner (Fraunhofer IOSB-AST, Germany); Pascal Birnstill (Fraunhofer IOSB, Germany); Andreas Morgenstern (Fraunhofer IESE); Lutz Stobbe (Fraunhofer Institute for Reliability and Microintegration IZM, Germany)
- DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets, Abdulmalik Alwarafy, Bekir S Çiftler and Mohamed M. Abdallah (Hamad Bin Khalifa University (HBKU), Qatar); Mounir Hamdi (Hamad Bin Khalifa University, Qatar)
- Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks, Hasan Farooq, Julien Forgeat, Shruti Bothe, Maxime Bouton and Meral Shirazipour (Ericsson, USA); Per Karlsson (Ericsson, Sweden)