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Evaluating the Communication Efficiency in Federated Learning Algorithms

Evaluating the Communication Efficiency in Federated Learning Algorithms

6 April 2020
Muhammad Asad
Ahmed Moustafa
Takayuki Ito
M. Aslam
    FedML
ArXivPDFHTML

Papers citing "Evaluating the Communication Efficiency in Federated Learning Algorithms"

2 / 2 papers shown
Title
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
44
250
0
20 Jul 2023
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
176
764
0
28 Sep 2019
1