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Communication-Compressed Adaptive Gradient Method for Distributed
  Nonconvex Optimization
v1v2 (latest)

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
1 November 2021
Yujia Wang
Lu Lin
Jinghui Chen
ArXiv (abs)PDFHTMLGithub

Papers citing "Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization"

13 / 13 papers shown
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Wei Liu
Anweshit Panda
Ujwal Pandey
Christopher Brissette
Yikang Shen
George M. Slota
Naigang Wang
Jie Chen
Yangyang Xu
222
2
0
07 Aug 2025
Tight analyses of first-order methods with error feedback
Tight analyses of first-order methods with error feedback
Daniel Berg Thomsen
Adrien B. Taylor
Hadrien Hendrikx
300
1
0
05 Jun 2025
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
587
3
0
11 Nov 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated
  Knowledge Injection
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionNeural Information Processing Systems (NeurIPS), 2024
Yuan Liu
Xiaochen Wang
Lingjuan Lyu
Jinghui Chen
Fenglong Ma
271
9
0
17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xiaochen Wang
Yuan Liu
Houping Xiao
Jianfei Chen
Fenglong Ma
MedIm
759
10
0
17 Aug 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang
Shiqiang Wang
Songtao Lu
Jinghui Chen
FedML
255
14
0
25 Jul 2024
Locally Adaptive Federated Learning
Locally Adaptive Federated Learning
Sohom Mukherjee
Nicolas Loizou
Sebastian U. Stich
FedML
270
9
0
12 Jul 2023
A Lightweight Method for Tackling Unknown Participation Statistics in
  Federated Averaging
A Lightweight Method for Tackling Unknown Participation Statistics in Federated AveragingInternational Conference on Learning Representations (ICLR), 2023
Maroun Touma
Mingyue Ji
FedML
505
0
0
06 Jun 2023
Momentum Provably Improves Error Feedback!
Momentum Provably Improves Error Feedback!Neural Information Processing Systems (NeurIPS), 2023
Ilyas Fatkhullin
Alexander Tyurin
Peter Richtárik
392
42
0
24 May 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for
  Distributed Optimization with Bidirectional Compression
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional CompressionInternational Conference on Machine Learning (ICML), 2022
Kaja Gruntkowska
Alexander Tyurin
Peter Richtárik
476
35
0
30 Sep 2022
Efficient-Adam: Communication-Efficient Distributed Adam
Efficient-Adam: Communication-Efficient Distributed AdamIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Congliang Chen
Li Shen
Wei Liu
Jianfeng Yao
207
29
0
28 May 2022
Communication-Efficient Adaptive Federated Learning
Communication-Efficient Adaptive Federated LearningInternational Conference on Machine Learning (ICML), 2022
Yujia Wang
Lu Lin
Jinghui Chen
FedML
387
101
0
05 May 2022
Communication-Efficient Distributed Deep Learning: A Comprehensive
  Survey
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey
Zhenheng Tang
Shaoshuai Shi
Wei Wang
Yue Liu
Xiaowen Chu
279
56
0
10 Mar 2020
1
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