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Federated Learning with Compression: Unified Analysis and Sharp
  Guarantees

Federated Learning with Compression: Unified Analysis and Sharp Guarantees

2 July 2020
Farzin Haddadpour
Mohammad Mahdi Kamani
Aryan Mokhtari
M. Mahdavi
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Compression: Unified Analysis and Sharp Guarantees"

5 / 55 papers shown
Title
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
23
161
0
06 Aug 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
191
542
0
30 Mar 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
22
63
0
25 Feb 2020
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
162
760
0
28 Sep 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
130
1,198
0
16 Aug 2016
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