Throughput-Optimal Topology Design for Cross-Silo Federated Learning

23 October 2020

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 Tingyang Sun Tuan Nguyen Ting He 35 0 0 16 Apr 2025
Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning Bohan Liu Yang Xiao Ruimeng Ye Zinan Ling Xiaolong Ma Bo Hui 42 0 0 28 Jan 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 56 1 0 25 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 69 13 0 09 Dec 2024
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 26 7 0 05 Nov 2024
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks Yudi Huang Tingyang Sun Ting He 26 2 0 08 Aug 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 45 12 0 08 Feb 2024
Energy-efficient Decentralized Learning via Graph Sparsification Xusheng Zhang Cho-Chun Chiu Ting He 19 2 0 05 Jan 2024
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 24 9 0 06 Dec 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 23 2 0 08 Nov 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 31 4 0 05 Jul 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 40 85 0 02 Jun 2023
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
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 29 0 0 26 Mar 2023
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 35 0 0 11 Mar 2023
FedST: Secure Federated Shapelet Transformation for Time Series Classification Zhiyu Liang Hongzhi Wang AI4TS 21 4 0 21 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 50 46 0 06 Feb 2023
Distributed Pruning Towards Tiny Neural Networks in Federated Learning Hong Huang Lan Zhang Chaoyue Sun R. Fang Xiaoyong Yuan Dapeng Oliver Wu FedML 16 14 0 05 Dec 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 32 4 0 25 Nov 2022
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 24 221 0 15 Nov 2022
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 38 142 0 10 Oct 2022
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks Naoyuki Terashita Satoshi Hara FedML 24 1 0 05 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning Jialiang Han Yudong Han Gang Huang Yun Ma FedML 18 4 0 01 Aug 2022
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 FedML AI4CE 28 3 0 20 Jul 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 20 15 0 26 Apr 2022
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data B. L. Bars A. Bellet Marc Tommasi Erick Lavoie Anne-Marie Kermarrec FedML 19 25 0 09 Apr 2022
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks Qian Chen Zilong Wang Yilin Zhou Jiawei Chen Danyang Xiao Xiaodong Lin FedML 17 6 0 08 Apr 2022
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 30 36 0 23 Mar 2022
Social Welfare Maximization in Cross-Silo Federated Learning Jianan Chen Qin Hu Honglu Jiang FedML 37 8 0 18 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning Xingjian Cao Zonghang Li Gang Sun Hongfang Yu Mohsen Guizani FedML 22 10 0 17 Feb 2022
Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning Jianan Chen Qin Hu Honglu Jiang FedML 23 1 0 16 Feb 2022
Efficient and Reliable Overlay Networks for Decentralized Federated Learning Yifan Hua Kevin Miller Andrea L. Bertozzi Chao Qian Bao Wang OOD FedML 39 20 0 12 Dec 2021
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 23 109 0 12 Oct 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 31 269 0 23 Aug 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Ning Zhang Qian Ma Xu Chen FedML 24 50 0 22 Jun 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning A. Bellet Anne-Marie Kermarrec Erick Lavoie FedML 28 21 0 15 Apr 2021
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 44 39 0 09 Dec 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 25 8 0 19 Nov 2020
Dynamic backup workers for parallel machine learning Chuan Xu Giovanni Neglia Nicola Sebastianelli 11 11 0 30 Apr 2020
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Q. Li Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 29 968 0 23 Jul 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018