FedNest: Federated Bilevel, Minimax, and Compositional Optimization

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FedNest: Federated Bilevel, Minimax, and Compositional Optimization

4 May 2022

Davoud Ataee Tarzanagh

Christos Thrampoulidis

ArXiv (abs)PDF HTML Github (16★)

Papers citing "FedNest: Federated Bilevel, Minimax, and Compositional Optimization"

16 / 66 papers shown

Title
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 183 732 0 13 Jun 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 193 1,070 0 24 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 102 931 0 21 May 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 263 1,721 0 14 Apr 2018
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel Hugo Berard Gaëtan Vignoud Pascal Vincent Simon Lacoste-Julien GAN 150 353 0 28 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 321 12,151 0 19 Jun 2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 48 761 0 17 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 843 11,961 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 222 417 0 06 Mar 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 149 1,910 0 08 Oct 2016
Accelerating Stochastic Composition Optimization Mengdi Wang Ji Liu Ethan X. Fang 83 148 0 25 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 417 17,653 0 17 Feb 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 138 450 0 07 Feb 2016
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 239 946 0 11 Feb 2015
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang Ethan X. Fang Han Liu 112 264 0 14 Nov 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 126 1,562 0 22 Sep 2013