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Confederated Learning: Federated Learning with Decentralized Edge
  Servers

Confederated Learning: Federated Learning with Decentralized Edge Servers

30 May 2022
Bin Wang
Jun Fang
Hongbin Li
Xiaojun Yuan
Qing Ling
    FedML
ArXivPDFHTML

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

10 / 10 papers shown
Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
69
0
0
29 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
Yuan Zhou
Jiachen Zhong
Xinli Shi
G. Wen
Xinghuo Yu
FedML
36
0
0
16 Apr 2025
Smart Sampling: Helping from Friendly Neighbors for Decentralized
  Federated Learning
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
Lin Wang
Yang Chen
Yongxin Guo
Xiaoying Tang
FedML
41
0
0
05 Jul 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA
  Approach
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
Bin Wang
Jun Fang
Hongbin Li
Yonina C. Eldar
FedML
28
1
0
28 Feb 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Yuxin Shi
Han Yu
FedML
20
3
0
05 Jan 2024
Collaborative Distributed Machine Learning
Collaborative Distributed Machine Learning
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
A. Sunyaev
27
1
0
28 Sep 2023
Connectivity-Aware Semi-Decentralized Federated Learning over
  Time-Varying D2D Networks
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
Rohit Parasnis
Seyyedali Hosseinalipour
Yun-Wei Chu
M. Chiang
Christopher G. Brinton
FedML
13
16
0
15 Mar 2023
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
18
221
0
15 Nov 2022
Privatized Graph Federated Learning
Privatized Graph Federated Learning
Elsa Rizk
Stefan Vlaski
A. H. Sayed
FedML
6
4
0
14 Mar 2022
Communication-Efficient ADMM-based Federated Learning
Communication-Efficient ADMM-based Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
35
22
0
28 Oct 2021
1