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2212.05602
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ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
11 December 2022
Rui Song
Liguo Zhou
Lingjuan Lyu
Andreas Festag
Alois C. Knoll
FedML
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Papers citing
"ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals"
5 / 5 papers shown
Title
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
86
85
0
27 Jun 2023
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
81
35
0
16 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
758
0
28 Sep 2019
1