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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

16 April 2025
Yuan Zhou
Jiachen Zhong
Xinli Shi
G. Wen
Xinghuo Yu
    FedML
ArXivPDFHTML

Papers citing "FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data"

10 / 10 papers shown
Title
Composite federated learning with heterogeneous data
Composite federated learning with heterogeneous data
Jiaojiao Zhang
Jiang Hu
Mikael Johansson
FedML
45
4
0
04 Sep 2023
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial
  Participation
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang
Siddartha Marella
James Anderson
FedML
32
40
0
28 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling
  and Correction
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao
Huazhu Fu
Li Li
Yingwen Chen
Minghua Xu
Chengzhong Xu
FedML
61
253
0
22 Mar 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matías Mendieta
Taojiannan Yang
Pu Wang
Minwoo Lee
Zhengming Ding
Chong Chen
FedML
81
161
0
28 Nov 2021
Federated Learning on Non-IID Data: A Survey
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
74
790
0
12 Jun 2021
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
187
6,229
0
10 Dec 2019
Parallel Restarted SGD with Faster Convergence and Less Communication:
  Demystifying Why Model Averaging Works for Deep Learning
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
Hao Yu
Sen Yang
Shenghuo Zhu
MoMe
FedML
73
604
0
17 Jul 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex
  Optimization
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
Zhize Li
Jian Li
60
116
0
13 Feb 2018
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,399
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
1