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Boost Decentralized Federated Learning in Vehicular Networks by
  Diversifying Data Sources

Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources

5 September 2022
Dongyuan Su
Yipeng Zhou
Laizhong Cui
    FedML
ArXivPDFHTML

Papers citing "Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources"

4 / 4 papers shown
Title
Decentralized Federated Learning with Model Caching on Mobile Agents
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang
Guojun Xiong
Houwei Cao
Jian Li
Yong Liu
FedML
38
1
0
26 Aug 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for
  Federated Recommender Systems
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
Zhen Cai
Tao Tang
Shuo Yu
Yunpeng Xiao
Feng Xia
45
1
0
07 Jun 2024
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
43
12
0
14 May 2023
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
85
110
0
04 Jan 2021
1