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2110.01165
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DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
4 October 2021
Boyue Li
Zhize Li
Yuejie Chi
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Papers citing
"DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization"
15 / 15 papers shown
Title
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
Sudeep Salgia
Nikola Pavlovic
Yuejie Chi
Qing Zhao
54
0
0
06 Jan 2025
Energy-Aware Decentralized Learning with Intermittent Model Training
Akash Dhasade
Paolo Dini
Elia Guerra
Anne-Marie Kermarrec
M. Miozzo
Rafael Pires
Rishi Sharma
M. Vos
43
0
0
01 Jul 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
42
3
0
02 May 2024
The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity
Tongle Wu
Ying Sun
44
0
0
23 Mar 2024
On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
Yunyan Bai
Yuxing Liu
Luo Luo
26
0
0
04 Feb 2024
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu
K. H. Low
21
0
0
04 Feb 2024
Sparse Training for Federated Learning with Regularized Error Correction
Ran Greidi
Kobi Cohen
FedML
35
1
0
21 Dec 2023
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
He Wang
Yuejie Chi
FedML
44
2
0
30 Nov 2023
Stability and Generalization for Minibatch SGD and Local SGD
Yunwen Lei
Tao Sun
Mingrui Liu
43
3
0
02 Oct 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Boyue Li
Yuejie Chi
26
12
0
17 May 2023
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
Le‐Yu Chen
Haishan Ye
Luo Luo
78
5
0
05 Dec 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization
Zhize Li
Jian Li
43
6
0
22 Aug 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang
Ying Sun
Zehan Zhu
Changzhi Yan
Jinming Xu
FedML
38
15
0
08 Jul 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li
Haoyu Zhao
Boyue Li
Yuejie Chi
FedML
35
41
0
20 Jun 2022
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Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao
Boyue Li
Zhize Li
Peter Richtárik
Yuejie Chi
37
49
0
31 Jan 2022
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