How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning

24 January 2024

Papers citing "How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning"

23 / 23 papers shown

Title
A Unified Analysis of Federated Learning with Arbitrary Client Participation Shiqiang Wang Mingyue Ji FedML 93 56 0 31 Dec 2024
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks Wanli Ni Jingheng Zheng Hui Tian FedML 49 29 0 09 Mar 2023
CFLIT: Coexisting Federated Learning and Information Transfer Zehong Lin Hang Liu Y. Zhang 30 11 0 26 Jul 2022
Cross-Silo Federated Learning: Challenges and Opportunities Chao Huang Jianwei Huang Xin Liu FedML 32 60 0 26 Jun 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 65 164 0 08 Apr 2022
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 53 74 0 27 Oct 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 50 47 0 17 Jun 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning Avrim Blum Nika Haghtalab R. L. Phillips Han Shao FedML 43 49 0 04 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 304 865 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 268 809 0 15 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 76 94 0 29 Jan 2021
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 71 56 0 18 Dec 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 46 153 0 22 Sep 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 79 607 0 07 Jul 2020
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks Sihua Wang Mingzhe Chen Changchuan Yin Walid Saad Choong Seon Hong Shuguang Cui H. Vincent Poor 57 68 0 19 Mar 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 47 264 0 12 Feb 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 181 6,229 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 84 830 0 02 Dec 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 104 334 0 29 Oct 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 122 932 0 01 Feb 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 238 8,856 0 25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 350 17,399 0 17 Feb 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 229 6,012 0 26 Sep 2014