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On the Impact of Device and Behavioral Heterogeneity in Federated
  Learning

On the Impact of Device and Behavioral Heterogeneity in Federated Learning

15 February 2021
A. Abdelmoniem
Chen-Yu Ho
Pantelis Papageorgiou
Muhammad Bilal
Marco Canini
    FedML
ArXivPDFHTML

Papers citing "On the Impact of Device and Behavioral Heterogeneity in Federated Learning"

4 / 4 papers shown
Title
FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
17
74
0
05 Jan 2022
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
34
55
0
01 Nov 2021
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
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