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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition
  Sampling

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

23 May 2019
Jianyu Wang
Anit Kumar Sahu
Zhouyi Yang
Gauri Joshi
S. Kar
ArXivPDFHTML

Papers citing "MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling"

27 / 27 papers shown
Title
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Tingyang Sun
Tuan Nguyen
Ting He
35
0
0
16 Apr 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
56
1
0
25 Jan 2025
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
57
0
0
03 Oct 2024
Visualizationary: Automating Design Feedback for Visualization Designers
  using LLMs
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs
Sungbok Shin
Sanghyun Hong
Niklas Elmqvist
24
0
0
19 Sep 2024
Beyond Exponential Graph: Communication-Efficient Topologies for
  Decentralized Learning via Finite-time Convergence
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
M. Yamada
31
9
0
19 May 2023
Beyond spectral gap (extended): The role of the topology in
  decentralized learning
Beyond spectral gap (extended): The role of the topology in decentralized learning
Thijs Vogels
Hadrien Hendrikx
Martin Jaggi
16
3
0
05 Jan 2023
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous
  Environment via Submodular Partitioning
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning
Haoze He
Parijat Dube
13
1
0
02 Nov 2022
Secure Distributed Optimization Under Gradient Attacks
Secure Distributed Optimization Under Gradient Attacks
Shuhua Yu
S. Kar
22
13
0
28 Oct 2022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated
  Learning
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Samuel Maddock
Alexandre Sablayrolles
Pierre Stock
FedML
12
22
0
06 Oct 2022
Semi-Decentralized Federated Learning with Collaborative Relaying
Semi-Decentralized Federated Learning with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
34
32
0
23 May 2022
Robust Federated Learning with Connectivity Failures: A
  Semi-Decentralized Framework with Collaborative Relaying
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
40
8
0
24 Feb 2022
Exponential Graph is Provably Efficient for Decentralized Deep Training
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
W. Yin
FedML
36
83
0
26 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
23
13
0
04 Oct 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in
  Federated Learning
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
Charlie Hou
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
FedML
30
14
0
16 Aug 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
44
243
0
29 Apr 2021
Consensus Control for Decentralized Deep Learning
Consensus Control for Decentralized Deep Learning
Lingjing Kong
Tao R. Lin
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
19
75
0
09 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
39
92
0
29 Jan 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
62
85
0
23 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
8
121
0
12 Oct 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated
  Optimization
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang
Qinghua Liu
Hao Liang
Gauri Joshi
H. Vincent Poor
MoMe
FedML
14
1,295
0
15 Jul 2020
DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle
  Synchronization for Distributed DNN Training
DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training
Weiyan Wang
Cengguang Zhang
Liu Yang
Kai Chen
Kun Tan
16
12
0
07 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp
  Guarantees
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour
Mohammad Mahdi Kamani
Aryan Mokhtari
M. Mahdavi
FedML
23
271
0
02 Jul 2020
Optimal Complexity in Decentralized Training
Optimal Complexity in Decentralized Training
Yucheng Lu
Christopher De Sa
25
71
0
15 Jun 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD
rTop-k: A Statistical Estimation Approach to Distributed SGD
L. P. Barnes
Huseyin A. Inan
Berivan Isik
Ayfer Özgür
19
65
0
21 May 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local
  Updates
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova
Nicolas Loizou
Sadra Boreiri
Martin Jaggi
Sebastian U. Stich
FedML
39
491
0
23 Mar 2020
Communication-Efficient Local Decentralized SGD Methods
Communication-Efficient Local Decentralized SGD Methods
Xiang Li
Wenhao Yang
Shusen Wang
Zhihua Zhang
16
53
0
21 Oct 2019
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in
  Distributed SGD
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta
Gauri Joshi
Soumyadip Ghosh
Parijat Dube
P. Nagpurkar
10
193
0
03 Mar 2018
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