Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2309.15659
Cited By
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency
27 September 2023
Long Tan Le
Tuan Dung Nguyen
Tung-Anh Nguyen
Choong Seon Hong
Nguyen H. Tran
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency"
4 / 4 papers shown
Title
Communication-Efficient ADMM-based Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
35
22
0
28 Oct 2021
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
174
760
0
28 Sep 2019
1