SS-L23.2
ENERGY-EFFICIENT DECENTRALIZED LEARNING VIA GRAPH SPARSIFICATION
Xusheng Zhang, Cho-Chun Chiu, Ting He, Pennsylvania State University, United States of America
Session:
SS-L23: Decentralized learning with resource-constrained communication Lecture
Track:
Special Sessions
Location:
Room 205A
Presentation Time:
Fri, 19 Apr, 13:30 - 13:50 (UTC +9)
Session Chair:
Zheng Chen, Linköping University
Session SS-L23
SS-L23.1: DECENTRALIZED LOW RANK MATRIX RECOVERY FROM COLUMN-WISE PROJECTIONS BY ALTERNATING GD AND MINIMIZATION
Shana Moothedath, Namrata Vaswani, Iowa State University, United States of America
SS-L23.2: ENERGY-EFFICIENT DECENTRALIZED LEARNING VIA GRAPH SPARSIFICATION
Xusheng Zhang, Cho-Chun Chiu, Ting He, Pennsylvania State University, United States of America
SS-L23.3: ON IMPROVED DISTRIBUTED RANDOM RESHUFFLING OVER NETWORKS
PRANAY SHARMA, JIARUI LI, GAURI JOSHI, CARNEGIE MELLON UNIVERSITY, United States of America
SS-L23.4: CSI-Free Over-the-Air Decentralized Learning over Frequency Selective Channels
Nicolò Michelusi, Arizona State University, United States of America
SS-L23.5: PERSONALIZED OVER-THE-AIR FEDERATED LEARNING WITH PERSONALIZED RECONFIGURABLE INTELLIGENT SURFACES
Jiayu Mao, Aylin Yener, The Ohio State University, United States of America
SS-L23.6: Federated Learning with Instance-Dependent Noisy Label
Lei Wang, Jieming Bian, Jie Xu, University of Miami, United States of America
Contacts