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Fundamental Limits of Communication Efficiency for Model Aggregation in
  Distributed Learning: A Rate-Distortion Approach

Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach

28 June 2022
Naifu Zhang
M. Tao
Jia Wang
Fan Xu
ArXivPDFHTML

Papers citing "Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach"

1 / 1 papers shown
Title
Rate-Constrained Quantization for Communication-Efficient Federated
  Learning
Rate-Constrained Quantization for Communication-Efficient Federated Learning
Shayan Mohajer Hamidi
Ali Bereyhi
FedML
MQ
28
1
0
10 Sep 2024
1