Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach

28 February 2024

Papers citing "Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach"

20 / 20 papers shown

Title
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Communication Compression Laurent Condat Ivan Agarský Peter Richtárik FedML 67 17 0 24 Oct 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 61 16 0 07 Apr 2022
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 102 95 0 29 Jan 2021
Fast decentralized non-convex finite-sum optimization with recursive variance reduction Ran Xin U. Khan S. Kar 69 43 0 17 Aug 2020
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs Muhammad I. Qureshi Ran Xin S. Kar U. Khan 69 21 0 13 Aug 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 64 180 0 16 Jun 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 54 227 0 05 Jun 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 215 184 0 11 May 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 85 196 0 01 Apr 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 102 137 0 26 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 121 173 0 28 Jan 2020
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data Shicong Cen Huishuai Zhang Yuejie Chi Wei-neng Chen Tie-Yan Liu FedML 55 27 0 29 May 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 79 510 0 01 Feb 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 66 502 0 28 Jan 2019
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization Jiaxiang Wu Weidong Huang Junzhou Huang Tong Zhang 81 236 0 21 Jun 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 55 298 0 25 May 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 176 1,063 0 24 May 2018
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 66 741 0 17 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 103 508 0 01 Feb 2016