Confederated Learning: Federated Learning with Decentralized Edge Servers

30 May 2022

Papers citing "Confederated Learning: Federated Learning with Decentralized Edge Servers"

23 / 23 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 282 0 0 29 Apr 2025
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 108 23 0 28 Oct 2021
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 62 112 0 26 Jul 2021
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 99 55 0 24 Oct 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 89 180 0 16 Jun 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 85 233 0 22 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 219 184 0 11 May 2020
Variance Reduced Local SGD with Lower Communication Complexity Xian-Feng Liang Shuheng Shen Jingchang Liu Zhen Pan Enhong Chen Yifei Cheng FedML 95 153 0 30 Dec 2019
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 72 310 0 27 Dec 2019
Device Scheduling with Fast Convergence for Wireless Federated Learning Misha Sra C. Schmandt Z. Niu FedML 82 197 0 03 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 91 275 0 31 Oct 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 80 201 0 30 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent Wei Liu Li Chen Yunfei Chen Wenyi Zhang FedML AI4CE 83 294 0 08 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 174 2,356 0 04 Jul 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 85 511 0 01 Feb 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 119 186 0 31 Jan 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 96 881 0 31 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 190 5,247 0 14 Dec 2018
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 69 181 0 23 Jun 2017
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization Guanghui Lan Soomin Lee Yi Zhou 92 219 0 14 Jan 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,659 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 139 1,830 0 01 Jul 2014