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Joint Client Assignment and UAV Route Planning for
  Indirect-Communication Federated Learning

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning

21 April 2023
Jieming Bian
Cong Shen
Jie Xu
    FedML
ArXivPDFHTML

Papers citing "Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning"

3 / 3 papers shown
Title
Enhancing Convergence in Federated Learning: A Contribution-Aware
  Asynchronous Approach
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
Changxin Xu
Yuxin Qiao
Zhanxin Zhou
Fanghao Ni
Jize Xiong
FedML
22
5
0
16 Feb 2024
Semi-Decentralized Federated Learning with Collaborative Relaying
Semi-Decentralized Federated Learning with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
34
32
0
23 May 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
1