IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SPCOM-2.2

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

Vinay Chakravarthi Gogineni, Stefan Werner, Norwegian University of Science and Technology-NTNU, Norway; Yih-Fang Huang, University of Notre Dame, United States of America; Anthony Kuh, University of Hawaii, United States of America

Session:
Decentralized Learning in Communication Systems

Track:
Signal Processing for Communications and Networking

Location:
Gather Area N

Presentation Time:
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC

Session Chair:
Paolo Di Lorenzo, Sapienza
Presentation
Discussion
Resources
Session SPCOM-2
SPCOM-2.1: BYZANTINE-ROBUST AND COMMUNICATION-EFFICIENT DISTRIBUTED NON-CONVEX LEARNING OVER NON-IID DATA
Xuechao He, Sun Yat-Sen University, China; Heng Zhu, University of Science and Technology of China, China; Qing Ling, Sun Yat-sen University, China
SPCOM-2.2: Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni, Stefan Werner, Norwegian University of Science and Technology-NTNU, Norway; Yih-Fang Huang, University of Notre Dame, United States of America; Anthony Kuh, University of Hawaii, United States of America
SPCOM-2.3: S2 REDUCER: HIGH-PERFORMANCE SPARSE COMMUNICATION TO ACCELERATE DISTRIBUTED DEEP LEARNING
Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li, National University of Defense Technology, China
SPCOM-2.4: A DATA-DRIVEN QUANTIZATION DESIGN FOR DISTRIBUTED TESTING AGAINST INDEPENDENCE WITH COMMUNICATION CONSTRAINTS
Sebastian Espinosa, Jorge Silva, Universidad de Chile, Chile; Pablo Piantanida, CentraleSupélec CNRS Université Paris-Saclay, France
SPCOM-2.5: Power allocation for wireless federated learning using graph neural networks
Boning Li, Santiago Segarra, Rice University, United States of America; Ananthram Swami, U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory, United States of America
SPCOM-2.6: FEDERATED MULTI-ARMED BANDIT VIA UNCOORDINATED EXPLORATION
Zirui Yan, Quan Xiao, Tianyi Chen, Ali Tajer, Rensselaer Polytechnic institute, United States of America
SPCOM-2.7: BYZANTINE-RESILIENT DECENTRALIZED COLLABORATIVE LEARNING
Jian Xu, Shao-Lun Huang, Tsinghua University, China