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Throughput-Optimal Topology Design for Cross-Silo Federated Learning
v1v2 (latest)

Throughput-Optimal Topology Design for Cross-Silo Federated Learning

23 October 2020
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
    FedML
ArXiv (abs)PDFHTML

Papers citing "Throughput-Optimal Topology Design for Cross-Silo Federated Learning"

42 / 42 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
165
0
0
16 Apr 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
124
1
0
25 Jan 2025
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
Bohan Liu
Yang Xiao
Ruimeng Ye
Zinan Ling
Xiaolong Ma
Bo Hui
OODAAMLFedML
115
1
0
25 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A
  Survey
Membership Inference Attacks and Defenses in Federated Learning: A Survey
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
FedML
119
14
0
09 Dec 2024
Photon: Federated LLM Pre-Training
Photon: Federated LLM Pre-Training
Lorenzo Sani
Alex Iacob
Zeyu Cao
Royson Lee
Bill Marino
...
Dongqi Cai
Zexi Li
Wanru Zhao
Xinchi Qiu
Nicholas D. Lane
AI4CE
92
9
0
05 Nov 2024
Overlay-based Decentralized Federated Learning in Bandwidth-limited
  Networks
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
Yudi Huang
Tingyang Sun
Ting He
68
2
0
08 Aug 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language
  Models
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
Zhenqing Ling
Daoyuan Chen
Liuyi Yao
Yaliang Li
Ying Shen
FedML
116
17
0
08 Feb 2024
Energy-efficient Decentralized Learning via Graph Sparsification
Energy-efficient Decentralized Learning via Graph Sparsification
Xusheng Zhang
Cho-Chun Chiu
Ting He
104
2
0
05 Jan 2024
Who Leaked the Model? Tracking IP Infringers in Accountable Federated
  Learning
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu
Junyuan Hong
Yi Zeng
Fei Wang
Ruoxi Jia
Jiayu Zhou
FedML
86
11
0
06 Dec 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative
  Parameter Alignment
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
FedML
91
2
0
08 Nov 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
105
5
0
05 Jul 2023
Decentralized Federated Learning: A Survey and Perspective
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan
Ziran Wang
Lichao Sun
Philip S. Yu
Christopher G. Brinton
FedML
121
98
0
02 Jun 2023
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
95
12
0
19 May 2023
A Generalized Look at Federated Learning: Survey and Perspectives
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
Zhaohui Yang
OODFedML
75
0
0
26 Mar 2023
Reducing Non-IID Effects in Federated Autonomous Driving with
  Contrastive Divergence Loss
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss
Tuong Khanh Long Do
Binh X. Nguyen
Hien Nguyen
Erman Tjiputra
Quang-Dieu Tran
Te-Chuan Chiu
A. Nguyen
77
0
0
11 Mar 2023
FedST: Secure Federated Shapelet Transformation for Time Series
  Classification
FedST: Secure Federated Shapelet Transformation for Time Series Classification
Zhiyu Liang
Hongzhi Wang
AI4TS
73
4
0
21 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive
  Survey
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
130
53
0
06 Feb 2023
Distributed Pruning Towards Tiny Neural Networks in Federated Learning
Distributed Pruning Towards Tiny Neural Networks in Federated Learning
Hong Huang
Lan Zhang
Chaoyue Sun
R. Fang
Xiaoyong Yuan
Dapeng Wu
FedML
71
18
0
05 Dec 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with
  Biased Compression
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression
Xiaoyun Li
Ping Li
FedML
82
5
0
25 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
99
258
0
15 Nov 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
133
159
0
10 Oct 2022
Decentralized Hyper-Gradient Computation over Time-Varying Directed
  Networks
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
99
1
0
05 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
119
64
0
02 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
Jialiang Han
Yudong Han
Gang Huang
Yudong Han
FedML
69
4
0
01 Aug 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph
  Topology
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Khanh Long Do
Binh X. Nguyen
Vuong Pham
Toan V. Tran
Erman Tjiputra
Quang-Dieu Tran
A. Nguyen
FedMLAI4CE
70
3
0
20 Jul 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
94
16
0
26 Apr 2022
Refined Convergence and Topology Learning for Decentralized SGD with
  Heterogeneous Data
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
B. L. Bars
A. Bellet
Marc Tommasi
Erick Lavoie
Anne-Marie Kermarrec
FedML
101
28
0
09 Apr 2022
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
Qian Chen
Zilong Wang
Yilin Zhou
Jiawei Chen
Danyang Xiao
Xiaodong Lin
FedML
67
6
0
08 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
95
38
0
23 Mar 2022
Social Welfare Maximization in Cross-Silo Federated Learning
Social Welfare Maximization in Cross-Silo Federated Learning
Jianan Chen
Qin Hu
Honglu Jiang
FedML
96
9
0
18 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning
Cross-Silo Heterogeneous Model Federated Multitask Learning
Xingjian Cao
Zonghang Li
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
74
10
0
17 Feb 2022
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo
  Federated Learning
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning
Jianan Chen
Qin Hu
Honglu Jiang
FedML
77
1
0
16 Feb 2022
Efficient and Reliable Overlay Networks for Decentralized Federated
  Learning
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
Yifan Hua
Kevin Miller
Andrea L. Bertozzi
Chao Qian
Bao Wang
OODFedML
67
21
0
12 Dec 2021
Deep Federated Learning for Autonomous Driving
Deep Federated Learning for Autonomous Driving
A. Nguyen
Tuong Khanh Long Do
Minh-Ngoc Tran
Binh X. Nguyen
C. Duong
T. Phan
Erman Tjiputra
Quang-Dieu Tran
FedML
93
113
0
12 Oct 2021
Federated Multi-Task Learning under a Mixture of Distributions
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
FedML
145
284
0
23 Aug 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A
  Repeated Game Perspective
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective
Ning Zhang
Qian Ma
Xu Chen
FedML
82
54
0
22 Jun 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in
  Decentralized Federated Learning
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
A. Bellet
Anne-Marie Kermarrec
Erick Lavoie
FedML
92
22
0
15 Apr 2021
Privacy Amplification by Decentralization
Privacy Amplification by Decentralization
Edwige Cyffers
A. Bellet
FedML
147
41
0
09 Dec 2020
FedEval: A Holistic Evaluation Framework for Federated Learning
FedEval: A Holistic Evaluation Framework for Federated Learning
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
FedML
90
9
0
19 Nov 2020
Dynamic backup workers for parallel machine learning
Dynamic backup workers for parallel machine learning
Chuan Xu
Giovanni Neglia
Nicola Sebastianelli
74
11
0
30 Apr 2020
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
130
1,016
0
23 Jul 2019
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
R. SantiagoS.Silva
B. Gutman
E. Romero
P. Thompson
Andre Altmann
Marco Lorenzi
FedML
96
182
0
19 Oct 2018
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