On Maintaining Linear Convergence of Distributed Learning and
Optimization under Limited Communication

On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

26 February 2019

Sindri Magnússon

H. S. Ghadikolaei

Na Li

Papers citing "On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication"

9 / 9 papers shown

Title
Non-Coherent Over-the-Air Decentralized Gradient Descent Nicolò Michelusi 29 6 0 19 Nov 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 26 5 0 11 Dec 2021
Decentralized Composite Optimization with Compression Yao Li Xiaorui Liu Jiliang Tang Ming Yan Kun Yuan 27 9 0 10 Aug 2021
Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence Jiaqi Zhang Keyou You Lihua Xie 8 32 0 14 May 2021
Decentralized Federated Averaging Tao Sun Dongsheng Li Bao Wang FedML 54 207 0 23 Apr 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! D. Kovalev Anastasia Koloskova Martin Jaggi Peter Richtárik Sebastian U. Stich 23 73 0 03 Nov 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 16 33 0 05 Dec 2019