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NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized
  Federated Learning with Heterogeneous Data

NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data

17 August 2022
Xin Zhang
Minghong Fang
Zhuqing Liu
Haibo Yang
Jia-Wei Liu
Zhengyuan Zhu
    FedML
ArXivPDFHTML

Papers citing "NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data"

12 / 12 papers shown
Title
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Shahryar Zehtabi
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
AI4CE
45
0
0
08 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
Lina Wang
Yunsheng Yuan
Chunxiao Wang
Feng Li
FedML
43
0
0
31 Mar 2025
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
70
0
0
02 Dec 2024
ROSS:RObust decentralized Stochastic learning based on Shapley values
ROSS:RObust decentralized Stochastic learning based on Shapley values
Lina Wang
Yunsheng Yuan
Feng Li
Lingjie Duan
FedML
43
0
0
01 Nov 2024
Byzantine-Robust Decentralized Federated Learning
Byzantine-Robust Decentralized Federated Learning
Minghong Fang
Zifan Zhang
Hairi
Prashant Khanduri
Jia Liu
Songtao Lu
Yuchen Liu
Neil Zhenqiang Gong
AAML
FedML
OOD
30
18
0
14 Jun 2024
Federated Multi-Objective Learning
Federated Multi-Objective Learning
Haibo Yang
Zhuqing Liu
Jia-Wei Liu
Chaosheng Dong
Michinari Momma
FedML
23
7
0
15 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative
  Imbalanced Data Mining
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
Xidong Wu
Zhengmian Hu
Jian Pei
Heng Huang
27
12
0
06 Aug 2023
Improving the Model Consistency of Decentralized Federated Learning
Improving the Model Consistency of Decentralized Federated Learning
Yi Shi
Li Shen
Kang Wei
Yan Sun
Bo Yuan
Xueqian Wang
Dacheng Tao
FedML
23
51
0
08 Feb 2023
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance)
  Noise in Federated Learning
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning
Haibo Yang
Pei-Yuan Qiu
Jia Liu
FedML
27
12
0
03 Oct 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
166
683
0
07 Dec 2010
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