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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
25 May 2017
Xiangru Lian
Ce Zhang
Huan Zhang
Cho-Jui Hsieh
Wei Zhang
Ji Liu
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Papers citing
"Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent"
50 / 628 papers shown
Beyond Scaffold: A Unified Spatio-Temporal Gradient Tracking Method
Yan Huang
Jinming Xu
Jiming Chen
Karl H. Johansson
FedML
170
0
0
01 Dec 2025
Row-stochastic matrices can provably outperform doubly stochastic matrices in decentralized learning
Bing Liu
Boao Kong
Limin Lu
Kun Yuan
Chengcheng Zhao
177
0
0
24 Nov 2025
DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
Julien Vignoud
Valérian Rousset
Hugo El Guedj
Ignacio Aleman
Walid Bennaceur
...
Olena Zavertiaieva
Sai Praneeth Karimireddy
Tahseen Rabbani
Mary-Anne Hartley
Martin Jaggi
98
0
0
24 Nov 2025
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
X. Wang
X. Li
Zhixiang Zhou
Chen Li
Y. Liu
104
1
0
23 Nov 2025
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Xuanyu Chen
Nan Yang
Shuai Wang
Dong Yuan
FedML
323
0
0
15 Nov 2025
ADP-VRSGP: Decentralized Learning with Adaptive Differential Privacy via Variance-Reduced Stochastic Gradient Push
Xiaoming Wu
Teng Liu
Xin Wang
Ming Yang
Jiguo Yu
149
1
0
23 Oct 2025
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via
f
f
f
-Differential Privacy
Xiang Li
Buxin Su
Chendi Wang
Qi Long
Weijie J. Su
FedML
234
4
0
22 Oct 2025
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
A. Bellet
Edwige Cyffers
Davide Frey
Romaric Gaudel
Dimitri Lerévérend
François Taïani
230
2
0
20 Oct 2025
DFCA: Decentralized Federated Clustering Algorithm
Jonas Kirch
Sebastian Becker
Tiago Koketsu Rodrigues
Stefan Harmeling
FedML
182
0
0
17 Oct 2025
Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Tsuyoshi Okita
AI4CE
180
0
0
09 Oct 2025
SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
Murtaza Rangwala
Farag Azzedin
Richard O. Sinnott
Rajkumar Buyya
FedML
AAML
174
1
0
09 Oct 2025
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
Qinglun Li
Yingqi Liu
Miao Zhang
Xiaochun Cao
Quanjun Yin
Li Shen
147
2
0
09 Oct 2025
Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification
Weihao Zeng
Keqing He
Chuqiao Kuang
X. Li
Junxian He
169
0
0
07 Oct 2025
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
Chuan He
Shuyi Ren
Jingwei Mao
Erik G. Larsson
153
1
0
01 Oct 2025
Decentralized Optimization with Topology-Independent Communication
Ying Lin
Yao Kuang
Ahmet Alacaoglu
Michael P. Friedlander
137
1
0
17 Sep 2025
On the Escaping Efficiency of Distributed Adversarial Training Algorithms
Ying Cao
Kun Yuan
Ali H. Sayed
AAML
252
0
0
14 Sep 2025
Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking
Yan Huang
Jinming Xu
Li Chai
Jiming Chen
Karl H. Johansson
136
0
0
11 Sep 2025
Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
Luo Luo
Xue Cui
Tingkai Jia
Cheng Chen
251
2
0
10 Sep 2025
OpenMulti: Open-Vocabulary Instance-Level Multi-Agent Distributed Implicit Mapping
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Jianyu Dou
Yinan Deng
Jiahui Wang
Xingsi Tang
Yi Yang
Yufeng Yue
122
3
0
01 Sep 2025
CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
Jiaxi Huang
Yan Huang
Yixian Zhao
Wenchao Meng
Jinming Xu
185
1
0
28 Aug 2025
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks
Xinli Shi
Xingxing Yuan
Longkang Zhu
G. Wen
131
0
0
28 Aug 2025
Decentralized Contextual Bandits with Network Adaptivity
Chuyun Deng
Huiwen Jia
236
0
0
19 Aug 2025
DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning
Lianshuai Guo
Zhongzheng Yuan
Xunkai Li
Yinlin Zhu
Meixia Qu
Wenyu Wang
FedML
193
0
0
15 Aug 2025
Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach
Yueyang Quan
Chang Wang
Shengjie Zhai
Minghong Fang
Zhuqing Liu
139
0
0
10 Aug 2025
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
185
1
0
07 Aug 2025
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
Yuze Liu
Tiehua Zhang
Zhishu Shen
Libing Wu
Shiping Chen
Jiong Jin
108
1
0
01 Aug 2025
Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
Hongye Wang
Zhaoye Pan
Chang He
Jiaxiang Li
Bo Jiang
271
1
0
30 Jul 2025
Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
Jaiprakash Nagar
Zheng Chen
Marios Kountouris
Photios A. Stavrou
118
0
0
23 Jul 2025
On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning
Tongtian Zhu
Tianyu Zhang
Mingze Wang
Zhanpeng Zhou
Can Wang
FedML
374
0
0
09 Jul 2025
ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning
Bing Liu
Chengcheng Zhao
L. Chai
Peng Cheng
Yaonan Wang
FedML
175
0
0
18 Jun 2025
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Haoxiang Ye
Tao Sun
Qing Ling
FedML
267
0
0
11 Jun 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
Zheng Lin
Zhe Chen
Xianhao Chen
Wei Ni
Yue Gao
FedML
402
17
0
10 Jun 2025
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator
IEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Alberto Bazán-Guillén
Carlos Beis-Penedo
Diego Cajaraville-Aboy
Pablo Barbecho-Bautista
R. Redondo
Luis J. de la Cruz Llopis
Ana Fernández-Vilas
Mónica Aguilar Igartua
M. Fernández-Veiga
AI4TS
221
0
0
09 Jun 2025
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
Yuki Takezawa
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
276
1
0
06 Jun 2025
Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe
Thalaiyasingam Ajanthan
Gil Avraham
Yan Zuo
Alexander Long
GNN
459
0
0
02 Jun 2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
Ofri Eisen
Ron Dorfman
Kfir Y. Levy
226
0
0
01 Jun 2025
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia
Nathaniel Hudson
Tian Li
Ian Foster
Kyle Chard
283
0
0
16 May 2025
Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation
Chengyang He
Gadiel Sznaier Camps
Xu Liu
Mac Schwager
Guillaume Sartoretti
321
4
0
14 May 2025
Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee
Sayar Karmakar
Wei Biao Wu
FedML
384
1
0
12 May 2025
Dyn-D
2
^2
2
P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Zehan Zhu
Yan Huang
Xin Wang
Shouling Ji
Jinming Xu
329
0
0
10 May 2025
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning
Atul Sharma
Kavindu Herath
Saurabh Bagchi
Chaoyue Liu
Somali Chaterji
FedML
358
0
0
29 Apr 2025
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
IEEE Transactions on Cognitive Communications and Networking (TCCN), 2025
Zhuojun Tian
Zhaoyang Zhang
Yiwei Li
Mehdi Bennis
405
1
0
24 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Yuan Zhou
Xinli Shi
Xuelong Li
Jiachen Zhong
G. Wen
Jinde Cao
FedML
390
3
0
17 Apr 2025
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
International Conference on Computer Communications and Networks (ICCCN), 2025
Tingyang Sun
Tuan Nguyen
Ting He
505
0
0
16 Apr 2025
A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip
Peyman Gholami
H. Seferoglu
212
0
0
14 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
454
3
0
02 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
IEEE International Conference on Distributed Computing Systems (ICDCS), 2025
Lina Wang
Yunsheng Yuan
Chunxiao Wang
Feng Li
FedML
467
1
0
31 Mar 2025
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
Bicheng Ying
Zhe Li
Haibo Yang
FedML
494
0
0
25 Mar 2025
Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time
Runze You
Shi Pu
269
2
0
20 Mar 2025
Accelerating MoE Model Inference with Expert Sharding
Oana Balmau
Anne-Marie Kermarrec
Rafael Pires
André Loureiro Espírito Santo
M. Vos
Milos Vujasinovic
MoE
365
5
0
11 Mar 2025
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