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On the Convergence of Momentum-Based Algorithms for Federated Bilevel
  Optimization Problems

On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems

28 April 2022
Hongchang Gao
    FedML
ArXivPDFHTML

Papers citing "On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems"

3 / 3 papers shown
Title
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
157
756
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
112
404
0
06 Mar 2017
1