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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"
8 / 8 papers shown
Title
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
Yuto Shibata
Yasunori Kudo
Yohei Sugawara
21
0
0
26 Oct 2024
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
Cheng Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
85
0
27 Jun 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois C. Knoll
FedML
28
25
0
04 Apr 2023
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments
Rui Song
Dai Liu
Da Chen
Andreas Festag
Carsten Trinitis
Martin Schulz
Alois C. Knoll
DD
FedML
25
61
0
24 Aug 2022
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
92
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
183
355
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
174
760
0
28 Sep 2019
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