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Deep Equilibrium Models Meet Federated Learning

Deep Equilibrium Models Meet Federated Learning

29 May 2023
A. Gkillas
D. Ampeliotis
K. Berberidis
    FedML
ArXivPDFHTML

Papers citing "Deep Equilibrium Models Meet Federated Learning"

4 / 4 papers shown
Title
Towards Resource-Efficient Federated Learning in Industrial IoT for
  Multivariate Time Series Analysis
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
Alexandros Gkillas
Aris Lalos
20
1
0
06 Nov 2024
Positive concave deep equilibrium models
Positive concave deep equilibrium models
Mateusz Gabor
Tomasz Piotrowski
Renato L. G. Cavalcante
21
2
0
06 Feb 2024
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
91
237
0
09 Sep 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
173
411
0
14 Jul 2021
1