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Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
v1v2 (latest)

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization

SIAM Journal on Optimization (SIAM J. Optim.), 2015
24 July 2015
Horia Mania
Xinghao Pan
Dimitris Papailiopoulos
Benjamin Recht
Kannan Ramchandran
Sai Li
ArXiv (abs)PDFHTML

Papers citing "Perturbed Iterate Analysis for Asynchronous Stochastic Optimization"

50 / 137 papers shown
Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
Yujia Wang
Fenglong Ma
Jinghui Chen
FedML
323
0
0
25 Nov 2025
Composite Optimization with Error Feedback: the Dual Averaging Approach
Composite Optimization with Error Feedback: the Dual Averaging Approach
Yuan Gao
Anton Rodomanov
Jeremy Rack
Sebastian U. Stich
165
1
0
03 Oct 2025
Taming Latency and Bandwidth: A Theoretical Framework and Adaptive Algorithm for Communication-Constrained Training
Taming Latency and Bandwidth: A Theoretical Framework and Adaptive Algorithm for Communication-Constrained Training
Rongwei Lu
Jingyan Jiang
Chunyang Li
Haotian Dong
Xingguang Wei
321
1
0
23 Jul 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
Zheng Lin
Zhe Chen
Xianhao Chen
Wei Ni
Yue Gao
FedML
406
18
0
10 Jun 2025
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching
Amit Attia
Ofir Gaash
Tomer Koren
383
0
0
14 Aug 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang
Shiqiang Wang
Songtao Lu
Jinghui Chen
FedML
253
14
0
25 Jul 2024
FedAST: Federated Asynchronous Simultaneous Training
FedAST: Federated Asynchronous Simultaneous Training
Baris Askin
Pranay Sharma
Carlee Joe-Wong
Gauri Joshi
464
7
0
01 Jun 2024
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
Xiaolu Wang
Yuchang Sun
Hoi-To Wai
Jun Zhang
380
2
0
27 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
Charikleia Iakovidou
Kibaek Kim
FedML
489
3
0
16 May 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu
Zhaorui Zhang
Sheng Di
Benben Liu
Khalid Ayedh Alharthi
Jiannong Cao
FedML
331
24
0
17 Apr 2024
Distributed Learning based on 1-Bit Gradient Coding in the Presence of
  Stragglers
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
Chengxi Li
Mikael Skoglund
391
9
0
19 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zhengyi Lin
Guanqiao Qu
Wei Wei
Xianhao Chen
Kin K. Leung
656
106
0
19 Mar 2024
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous
  Decentralized and Federated Optimization
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Mathieu Even
Anastasia Koloskova
Laurent Massoulié
FedML
384
17
0
01 Nov 2023
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD AlgorithmsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Rustem Islamov
M. Safaryan
Dan Alistarh
FedML
305
25
0
31 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Towards Understanding the Generalizability of Delayed Stochastic Gradient DescentIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
492
3
0
18 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized
  Communications and Buffered Aggregation
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Tomàs Ortega
Hamid Jafarkhani
FedML
283
11
0
01 Aug 2023
Locally Adaptive Federated Learning
Locally Adaptive Federated Learning
Sohom Mukherjee
Nicolas Loizou
Sebastian U. Stich
FedML
270
9
0
12 Jul 2023
Differentially Private Wireless Federated Learning Using Orthogonal
  Sequences
Differentially Private Wireless Federated Learning Using Orthogonal Sequences
Xizixiang Wei
Tianhao Wang
Ruiquan Huang
Cong Shen
Jing Yang
H. Vincent Poor
319
1
0
14 Jun 2023
On Convergence of Incremental Gradient for Non-Convex Smooth Functions
On Convergence of Incremental Gradient for Non-Convex Smooth FunctionsInternational Conference on Machine Learning (ICML), 2023
Anastasia Koloskova
N. Doikov
Sebastian U. Stich
Martin Jaggi
433
6
0
30 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data
  Heterogeneity
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
FedML
309
13
0
29 May 2023
Considerations on the Theory of Training Models with Differential
  Privacy
Considerations on the Theory of Training Models with Differential Privacy
Marten van Dijk
Phuong Ha Nguyen
FedML
289
3
0
08 Mar 2023
Stochastic Gradient Descent under Markovian Sampling Schemes
Stochastic Gradient Descent under Markovian Sampling SchemesInternational Conference on Machine Learning (ICML), 2023
Mathieu Even
388
41
0
28 Feb 2023
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge
  Computing
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing
Rongxin Xu
Mengyue Deng
Qiujun Lan
Gang Li
171
9
0
26 Feb 2023
Stochastic Approximation Beyond Gradient for Signal Processing and
  Machine Learning
Stochastic Approximation Beyond Gradient for Signal Processing and Machine LearningIEEE Transactions on Signal Processing (IEEE TSP), 2023
Hadrien Hendrikx
G. Fort
Eric Moulines
Hoi-To Wai
344
22
0
22 Feb 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications
  to Differential Privacy
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential PrivacyNeural Information Processing Systems (NeurIPS), 2023
Anastasia Koloskova
Ryan McKenna
Zachary B. Charles
Keith Rush
Brendan McMahan
638
18
0
02 Feb 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau
  Envelopes
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes
Konstantin Mishchenko
Slavomír Hanzely
Peter Richtárik
FedML
275
9
0
17 Jan 2023
Temporal Difference Learning with Compressed Updates: Error-Feedback
  meets Reinforcement Learning
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
A. Mitra
George J. Pappas
Hamed Hassani
282
15
0
03 Jan 2023
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
226
25
0
18 Oct 2022
Adaptive Step-Size Methods for Compressed SGD
Adaptive Step-Size Methods for Compressed SGDIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Adarsh M. Subramaniam
A. Magesh
Venugopal V. Veeravalli
169
1
0
20 Jul 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Pisces: Efficient Federated Learning via Guided Asynchronous TrainingACM Symposium on Cloud Computing (SoCC), 2022
Zhifeng Jiang
Wei Wang
Baochun Li
Yue Liu
FedML
214
33
0
18 Jun 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and
  Federated Learning
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated LearningNeural Information Processing Systems (NeurIPS), 2022
Anastasia Koloskova
Sebastian U. Stich
Martin Jaggi
FedML
346
106
0
16 Jun 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
Asynchronous SGD Beats Minibatch SGD Under Arbitrary DelaysNeural Information Processing Systems (NeurIPS), 2022
Konstantin Mishchenko
Francis R. Bach
Mathieu Even
Blake E. Woodworth
363
74
0
15 Jun 2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance
  based Adaptive Weight Aggregation
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
Qiyuan Wang
Qianqian Yang
Shibo He
Zhiguo Shi
Jiming Chen
FedML
441
43
0
27 May 2022
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Runxue Bao
Xidong Wu
Wenhan Xian
Heng-Chiao Huang
254
1
0
23 Apr 2022
Nonlinear gradient mappings and stochastic optimization: A general
  framework with applications to heavy-tail noise
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noiseSIAM Journal on Optimization (SIAM J. Optim.), 2022
D. Jakovetić
Dragana Bajović
Anit Kumar Sahu
S. Kar
Nemanja Milošević
Dusan Stamenkovic
281
22
0
06 Apr 2022
Distributed Methods with Absolute Compression and Error Compensation
Distributed Methods with Absolute Compression and Error Compensation
Marina Danilova
Eduard A. Gorbunov
292
5
0
04 Mar 2022
On Federated Learning with Energy Harvesting Clients
On Federated Learning with Energy Harvesting ClientsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Cong Shen
Jing Yang
Jie Xu
FedML
266
13
0
12 Feb 2022
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
Nhuong V. Nguyen
Song Han
220
2
0
27 Dec 2021
Decentralized Multi-Task Stochastic Optimization With Compressed
  Communications
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
Navjot Singh
Xuanyu Cao
Suhas Diggavi
Tamer Basar
234
16
0
23 Dec 2021
Finite-Time Consensus Learning for Decentralized Optimization with
  Nonlinear Gossiping
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping
Junya Chen
Sijia Wang
Lawrence Carin
Chenyang Tao
171
3
0
04 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated LearningEuropean Conference on Computer Systems (EuroSys), 2021
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
334
70
0
01 Nov 2021
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free
  Optimization
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
Kaiwen Zhou
Anthony Man-Cho So
James Cheng
285
1
0
30 Sep 2021
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge
  Network with Layerd Gradient Compression
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
Haizhou Du
Xiaojie Feng
Qiao Xiang
Haoyu Liu
189
0
0
18 Sep 2021
Asynchronous Iterations in Optimization: New Sequence Results and
  Sharper Algorithmic Guarantees
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic GuaranteesJournal of machine learning research (JMLR), 2021
Hamid Reza Feyzmahdavian
M. Johansson
265
29
0
09 Sep 2021
Statistical Estimation and Inference via Local SGD in Federated Learning
Statistical Estimation and Inference via Local SGD in Federated Learning
Xiang Li
Jiadong Liang
Xiangyu Chang
Zhihua Zhang
FedML
189
6
0
03 Sep 2021
Distributed stochastic optimization with large delays
Distributed stochastic optimization with large delays
Zhengyuan Zhou
P. Mertikopoulos
Nicholas Bambos
Peter Glynn
Yinyu Ye
224
12
0
06 Jul 2021
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
Asynchronous Stochastic Optimization Robust to Arbitrary DelaysNeural Information Processing Systems (NeurIPS), 2021
Alon Cohen
Amit Daniely
Yoel Drori
Tomer Koren
Mariano Schain
341
41
0
22 Jun 2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning with Buffered Asynchronous AggregationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
445
428
0
11 Jun 2021
Asynchronous speedup in decentralized optimization
Asynchronous speedup in decentralized optimizationIEEE Transactions on Automatic Control (IEEE TAC), 2021
Mathieu Even
Aymeric Dieuleveut
Laurent Massoulie
340
6
0
07 Jun 2021
Pufferfish: Communication-efficient Models At No Extra Cost
Pufferfish: Communication-efficient Models At No Extra CostConference on Machine Learning and Systems (MLSys), 2021
Hongyi Wang
Saurabh Agarwal
Dimitris Papailiopoulos
183
75
0
05 Mar 2021
123
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