SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized
Stochastic Optimization

SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization

31 October 2019

Suhas Diggavi

Papers citing "SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization"

5 / 5 papers shown

Title
Fast Heterogeneous Federated Learning with Hybrid Client Selection Guangyuan Shen D. Gao Duanxiao Song Libin Yang Xukai Zhou Shirui Pan W. Lou Fang Zhou FedML 34 12 0 10 Aug 2022
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 42 92 0 29 Jan 2021
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 31 13 0 14 Sep 2020
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning Nirupam Gupta Nitin H. Vaidya FedML 30 8 0 19 Dec 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019