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1606.02421
Cited By
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
International Conference on Machine Learning (ICML), 2016
8 June 2016
Igor Colin
A. Bellet
Joseph Salmon
Nathan Huet
FedML
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Papers citing
"Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions"
44 / 44 papers shown
Asynchronous Gossip Algorithms for Rank-Based Statistical Methods
Anna Van Elst
Igor Colin
Nathan Huet
245
3
0
09 Sep 2025
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Anna Van Elst
Igor Colin
Nathan Huet
543
2
0
23 May 2025
iDML: Incentivized Decentralized Machine Learning
Haoxiang Yu
Hsiao-Yuan Chen
Sangsu Lee
S. Vishwanath
J. Zheng
Christine Julien
FedML
229
8
0
10 Apr 2023
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
Waqwoya Abebe
Ali Jannesari
302
0
0
16 Dec 2022
Network Gradient Descent Algorithm for Decentralized Federated Learning
Shuyuan Wu
Danyang Huang
Hansheng Wang
FedML
239
13
0
06 May 2022
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
B. L. Bars
A. Bellet
Marc Tommasi
Erick Lavoie
Anne-Marie Kermarrec
FedML
427
43
0
09 Apr 2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg
Yuhao Zhou
M. Shi
Yuxin Tian
Qing Ye
Jiancheng Lv
FedML
138
2
0
06 Apr 2022
Non asymptotic bounds in asynchronous sum-weight gossip protocols
David Picard
Jérôme Fellus
S. Garnier
118
0
0
19 Nov 2021
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
IEEE Transactions on Automatic Control (IEEE TAC), 2021
Changxin Liu
Zirui Zhou
Jian Pei
Yong Zhang
Yang Shi
328
12
0
26 Jun 2021
Efficient and Less Centralized Federated Learning
Li Chou
Zichang Liu
Zhuang Wang
Anshumali Shrivastava
FedML
164
20
0
11 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Computers & security (CS), 2021
Xinyuan Wei
Zilong Wang
Wenjing Zhang
Xiaodong Lin
FedML
319
18
0
30 May 2021
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang
Shaoduo Gan
Yue Liu
Fanlin Wang
Gustavo Alonso
Ana Klimovic
Ankit Singla
Wentao Wu
Ce Zhang
209
146
0
17 May 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
IEEE International Symposium on Reliable Distributed Systems (SRDS), 2021
A. Bellet
Anne-Marie Kermarrec
Erick Lavoie
FedML
533
34
0
15 Apr 2021
Distributed Learning Systems with First-order Methods
Ji Liu
Ce Zhang
250
47
0
12 Apr 2021
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021
Akihito Taya
Takayuki Nishio
M. Morikura
Koji Yamamoto
FedML
451
28
0
01 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Annual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2021
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
202
30
0
24 Mar 2021
Preserved central model for faster bidirectional compression in distributed settings
Neural Information Processing Systems (NeurIPS), 2021
Constantin Philippenko
Hadrien Hendrikx
210
35
0
24 Feb 2021
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers
Efstathia Soufleri
Gang Yan
Rahul Singh
Jian Li
147
14
0
11 Feb 2021
Privacy Amplification by Decentralization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Edwige Cyffers
A. Bellet
FedML
609
46
0
09 Dec 2020
Asynchrony and Acceleration in Gossip Algorithms
Mathieu Even
Aymeric Dieuleveut
Laurent Massoulié
331
8
0
04 Nov 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
450
109
0
23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan
Mengwei Xu
Xiao Ma
Ao Zhou
Xuanzhe Liu
Shangguang Wang
FedML
166
42
0
22 Oct 2020
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Samy Jelassi
Aaron Defazio
294
5
0
20 Oct 2020
An Optimal Algorithm for Decentralized Finite Sum Optimization
Aymeric Dieuleveut
Francis R. Bach
Laurent Massoulie
276
49
0
20 May 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
781
8,302
0
10 Dec 2019
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters
Daning Cheng
Hanping Zhang
Fen Xia
Shigang Li
Yunquan Zhang
195
1
0
25 Oct 2019
Communication-Efficient Local Decentralized SGD Methods
Xiang Li
Wenhao Yang
Shusen Wang
Zhihua Zhang
366
55
0
21 Oct 2019
Matrix Sketching for Secure Collaborative Machine Learning
International Conference on Machine Learning (ICML), 2019
Mengjiao Zhang
Shusen Wang
FedML
419
16
0
24 Sep 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
Neural Information Processing Systems (NeurIPS), 2019
Aymeric Dieuleveut
Francis R. Bach
Laurent Massoulie
245
34
0
27 May 2019
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Nicolas Loizou
Peter Richtárik
321
41
0
20 May 2019
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums
Aymeric Dieuleveut
Francis R. Bach
Laurent Massoulié
FedML
303
26
0
28 Jan 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
Valentina Zantedeschi
A. Bellet
Marc Tommasi
FedML
552
87
0
24 Jan 2019
Distributed Learning over Unreliable Networks
Chen Yu
Hanlin Tang
Cédric Renggli
S. Kassing
Ankit Singla
Dan Alistarh
Ce Zhang
Ji Liu
OOD
359
65
0
17 Oct 2018
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Aymeric Dieuleveut
Francis R. Bach
Laurent Massoulié
303
47
0
05 Oct 2018
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Zebang Shen
Aryan Mokhtari
Tengfei Zhou
P. Zhao
Hui Qian
286
60
0
25 May 2018
DJAM: distributed Jacobi asynchronous method for learning personal models
Inês Almeida
J. Xavier
FedML
257
12
0
26 Mar 2018
D
2
^2
2
: Decentralized Training over Decentralized Data
Hanlin Tang
Xiangru Lian
Ming Yan
Ce Zhang
Ji Liu
463
385
0
19 Mar 2018
Communication Compression for Decentralized Training
Hanlin Tang
Shaoduo Gan
Ce Zhang
Tong Zhang
Ji Liu
478
304
0
17 Mar 2018
Personalized and Private Peer-to-Peer Machine Learning
A. Bellet
R. Guerraoui
Mahsa Taziki
Marc Tommasi
FedML
293
18
0
23 May 2017
A Riemannian gossip approach to subspace learning on Grassmann manifold
Bamdev Mishra
Hiroyuki Kasai
Pratik Jawanpuria
Atul Saroop
330
1
0
01 May 2017
Stochastic Composite Least-Squares Regression with convergence rate O(1/n)
Annual Conference Computational Learning Theory (COLT), 2017
Nicolas Flammarion
Francis R. Bach
217
28
0
21 Feb 2017
Gossip training for deep learning
Michael Blot
David Picard
Matthieu Cord
Nicolas Thome
FedML
146
119
0
29 Nov 2016
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck
A. Bellet
Marc Tommasi
FedML
313
248
0
17 Oct 2016
Decentralized Topic Modelling with Latent Dirichlet Allocation
Neural Information Processing Systems (NeurIPS), 2016
Igor Colin
Christophe Dupuy
103
4
0
05 Oct 2016
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