SS-L16: Distributed Machine Learning on Wireless Networks |
Session Type: Lecture |
Time: Thursday, 7 May, 09:00 - 11:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chairs: H. Vincent Poor, Princeton and Wojciech Samek, Fraunhofer HHI |
SS-L16.1: FEDERATED LEARNING WITH QUANTIZATION CONSTRAINTS |
Nir Shlezinger; Weizmann Institute of Science |
Mingzhe Chen; Princeton University |
Yonina Eldar; Weizmann Institute of Science |
H. Vincent Poor; Princeton University |
Shuguang Cui; Chinese University of Hong Kong |
SS-L16.2: COOPERATIVE LEARNING VIA FEDERATED DISTILLATION OVER FADING CHANNELS |
Jin-Hyun Ahn; Korea Advanced Institute of Science and Technology (KAIST) |
Osvaldo Simeone; King’s College London |
Joonhyuk Kang; Korea Advanced Institute of Science and Technology (KAIST) |
SS-L16.3: ON THE BYZANTINE ROBUSTNESS OF CLUSTERED FEDERATED LEARNING |
Felix Sattler; Fraunhofer Heinrich Hertz Institute |
Klaus-Robert Müller; Technische Universität Berlin |
Thomas Wiegand; Fraunhofer Heinrich Hertz Institute |
Wojciech Samek; Fraunhofer Heinrich Hertz Institute |
SS-L16.4: HIERARCHICAL FEDERATED LEARNING ACROSS HETEROGENEOUS CELLULAR NETWORKS |
Mehdi Salehi Haydar Abad; Sabanci University |
Emre Ozfatura; Imperial College London |
Deniz Gündüz; Imperial College London |
Ozgur Ercetin; Sabanci University |
SS-L16.5: OVERLAP LOCAL-SGD: AN ALGORITHMIC APPROACH TO HIDE COMMUNICATION DELAYS IN DISTRIBUTED SGD |
Jianyu Wang; Carnegie Mellon University |
Hao Liang; Carnegie Mellon University |
Gauri Joshi; Carnegie Mellon University |
SS-L16.6: Q-GADMM: QUANTIZED GROUP ADMM FOR COMMUNICATION EFFICIENT DECENTRALIZED MACHINE LEARNING |
Anis Elgabli; University of Oulu |
Jihong Park; University of Oulu |
Amrit S. Bedi; Indian Institute of Technology Kanpur |
Mehdi Bennis; University of Oulu |
Vaneet Aggarwal; Purdue University |