FedMe: Federated Learning via Model Exchange

15 October 2021

Koji Matsuda

Yuya Sasaki

Chuan Xiao

Makoto Onizuka

FedML

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Papers citing "FedMe: Federated Learning via Model Exchange"

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Title
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 98 6 0 19 May 2024
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 60 290 0 15 Dec 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 52 260 0 04 Sep 2020
Federated Mutual Learning Tao Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Leilei Gan Chao-Xiang Wu FedML 77 122 0 27 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 68 982 0 16 Jun 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search Chaoyang He M. Annavaram A. Avestimehr OOD FedML 42 87 0 18 Apr 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation Chaoyang He Haishan Ye Li Shen Tong Zhang 57 129 0 27 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 90 1,417 0 29 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 126 569 0 25 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 105 1,117 0 15 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 150 6,177 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 312 42,038 0 03 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 84 845 0 08 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 127 2,311 0 04 Jul 2019
One-Shot Federated Learning Neel Guha Ameet Talwalkar Virginia Smith FedML 49 214 0 28 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 93 5,105 0 14 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 118 1,410 0 03 Dec 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 110 1,525 0 08 Nov 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 59 282 0 09 Oct 2018
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN J. Gao Zijian Guo Zerui Li Ram Nevatia VLM 88 20 0 21 Nov 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 143 1,647 0 01 Jun 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 408 5,362 0 05 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016