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2204.10607
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Federated Learning via Inexact ADMM
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
22 April 2022
Shenglong Zhou
Geoffrey Ye Li
FedML
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Papers citing
"Federated Learning via Inexact ADMM"
37 / 37 papers shown
Distributed optimization: designed for federated learning
Wenyou Guo
Ting Qu
Chunrong Pan
George Q. Huang
FedML
202
2
0
12 Aug 2025
Knowledge Adaptation as Posterior Correction
Mohammad Emtiyaz Khan
325
2
0
17 Jun 2025
Federated ADMM from Bayesian Duality
Thomas Möllenhoff
S. Swaroop
Finale Doshi-Velez
Mohammad Emtiyaz Khan
FedML
339
2
0
16 Jun 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
IEEE Transactions on Signal Processing (IEEE TSP), 2025
Yuan Zhou
Jiachen Zhong
Xinli Shi
G. Wen
Xinghuo Yu
FedML
420
1
0
16 Apr 2025
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems
Patrick Hytla
Tran T. A. Nghia
Duy Nhat Phan
Andrew Rice
FedML
228
0
0
17 Mar 2025
Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou
Ouya Wang
Ziyan Luo
Yongxu Zhu
Geoffrey Ye Li
487
2
0
15 Feb 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
271
2
0
31 Dec 2024
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
359
6
0
02 Dec 2024
Controlling Participation in Federated Learning with Feedback
Conference on Learning for Dynamics & Control (L4DC), 2024
Michael Cummins
Güner Dilsad Er
Michael Muehlebach
FedML
428
1
0
28 Nov 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
284
2
0
09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
238
1
0
09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Neural Information Processing Systems (NeurIPS), 2024
Yan Sun
Li Shen
Dacheng Tao
FedML
300
2
0
27 Sep 2024
Hierarchical Federated ADMM
IEEE Networking Letters (IEEE Netw. Lett.), 2024
Seyed Mohammad Azimi-Abarghouyi
Nicola Bastianello
Karl H. Johansson
Viktoria Fodor
FedML
220
7
0
27 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Xingtai Lv
Zhiyong Peng
247
2
0
23 Jul 2024
BADM: Batch ADMM for Deep Learning
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
ODL
355
2
0
30 Jun 2024
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
471
3
0
17 May 2024
Federated Learning Using Coupled Tensor Train Decomposition
Xiangtao Zhang
Eleftherios Kofidis
Ce Zhu
Le Zhang
Yipeng Liu
FedML
206
3
0
05 Mar 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
348
9
0
21 Feb 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
Zhenyu Wu
Fengmao Lv
Chenglizhao Chen
Aimin Hao
Shuo Li
ELM
261
23
0
22 Jan 2024
Personalized Federated Learning via ADMM with Moreau Envelope
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Zhiyong Peng
227
0
0
12 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Yiwei Li
Chien-Wei Huang
Shuai Wang
Chong-Yung Chi
Tony Q.S. Quek
FedML
304
3
0
30 Oct 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
INFORMS journal on computing (IJOC), 2023
Hao Di
Yi Yang
Haishan Ye
Xiangyu Chang
FedML
273
3
0
22 Oct 2023
Federated Learning with Convex Global and Local Constraints
Chuan He
Le Peng
Ju Sun
FedML
347
3
0
16 Oct 2023
Federated Reinforcement Learning for Resource Allocation in V2X Networks
Kaidi Xu
Shenglong Zhou
Geoffrey Ye Li
188
12
0
15 Oct 2023
Asymmetrically Decentralized Federated Learning
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Qinglun Li
Miao Zhang
Nan Yin
Quanjun Yin
Li Shen
FedML
373
7
0
08 Oct 2023
Sparse Decentralized Federated Learning
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Shenglong Zhou
Kaidi Xu
Geoffrey Ye Li
Geoffrey Ye Li
FedML
161
0
0
31 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning
Qinglun Li
Li Shen
Guang-Ming Li
Quanjun Yin
Dacheng Tao
FedML
146
7
0
16 Aug 2023
Personalized Graph Federated Learning with Differential Privacy
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
269
15
0
10 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Neural Information Processing Systems (NeurIPS), 2023
Yan Sun
Li Shen
Dacheng Tao
FedML
236
20
0
09 Jun 2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
IEEE Transactions on Network and Service Management (TNSM), 2023
Jianhua Wang
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Lin Li
Yingying Yao
FedML
295
7
0
01 Jun 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Neural Information Processing Systems (NeurIPS), 2023
Ziba Parsons
Fei Dou
Houyi Du
Zheng Song
Jin Lu
301
5
0
25 Apr 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
International Conference on Machine Learning (ICML), 2023
Edwige Cyffers
A. Bellet
D. Basu
FedML
381
6
0
24 Feb 2023
Federated Learning Using Three-Operator ADMM
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Shashi Kant
J. M. B. D. Silva
Gábor Fodor
B. Goransson
M. Bengtsson
Carlo Fischione
FedML
325
9
0
08 Nov 2022
Exact Penalty Method for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
227
2
0
23 Aug 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Shenglong Zhou
Geoffrey Ye Li
FedML
467
22
0
03 May 2022
Efficient Wireless Federated Learning with Partial Model Aggregation
IEEE Transactions on Communications (IEEE Trans. Commun.), 2022
Zhixiong Chen
Wenqiang Yi
A. Nallanathan
Geoffrey Ye Li
365
19
0
20 Apr 2022
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization
Huiming Chen
Huandong Wang
Quanming Yao
Yong Li
Depeng Jin
Qiang Yang
FedML
180
6
0
15 Dec 2021
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