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Federated Mutual Learning
v1v2v3 (latest)

Federated Mutual Learning

27 June 2020
Tao Shen
Jie Zhang
Xinkang Jia
Tai-wei Chang
Gang Huang
Pan Zhou
Kun Kuang
Leilei Gan
Chao-Xiang Wu
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Mutual Learning"

12 / 62 papers shown
Decentralized Federated Learning through Proxy Model Sharing
Decentralized Federated Learning through Proxy Model SharingNature Communications (Nat Commun), 2021
Shivam Kalra
Junfeng Wen
Jesse C. Cresswell
Anthony L. Caterini
Hamid R. Tizhoosh
FedML
284
148
0
22 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
388
139
0
11 Nov 2021
Decentralised Person Re-Identification with Selective Knowledge
  Aggregation
Decentralised Person Re-Identification with Selective Knowledge AggregationBritish Machine Vision Conference (BMVC), 2021
Shitong Sun
Guile Wu
S. Gong
OOD
111
9
0
21 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated
  Learning
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
136
29
0
19 Oct 2021
FedMe: Federated Learning via Model Exchange
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
246
23
0
15 Oct 2021
Personalized Retrogress-Resilient Framework for Real-World Medical
  Federated Learning
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Daming Gao
Meilu Zhu
Chen Yang
Yixuan Yuan
OOD
147
42
0
01 Oct 2021
QuPeD: Quantized Personalization via Distillation with Applications to
  Federated Learning
QuPeD: Quantized Personalization via Distillation with Applications to Federated LearningNeural Information Processing Systems (NeurIPS), 2021
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedMLMQ
310
70
0
29 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated
  Learning Under Different Non-IID Scenes
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
Xin-Chun Li
Le Gan
De-Chuan Zhan
Yunfeng Shao
Bingshuai Li
Shaoming Song
OOD
164
10
0
26 Jul 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
506
460
0
14 Jul 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li
Wei Zhou
Huaimin Wang
Haibo Mi
Timothy M. Hospedales
FedML
204
31
0
27 Jan 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
663
649
0
30 Mar 2020
Soft-Label Dataset Distillation and Text Dataset Distillation
Soft-Label Dataset Distillation and Text Dataset DistillationIEEE International Joint Conference on Neural Network (IJCNN), 2019
Ilia Sucholutsky
Matthias Schonlau
DD
426
149
0
06 Oct 2019
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