Communication-Efficient Federated Bilevel Optimization with Local and
Global Lower Level Problems

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Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems

13 February 2023

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Papers citing "Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems"

18 / 18 papers shown

Title
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 73 16 0 30 May 2023
Communication-Efficient Robust Federated Learning with Noisy Labels Junyi Li Jian Pei Heng Huang FedML 78 18 0 11 Jun 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse Junyi Li Bin Gu Heng-Chiao Huang 72 74 0 09 Dec 2021
The Minimax Complexity of Distributed Optimization Blake E. Woodworth 35 11 0 01 Sep 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri Pranay Sharma Haibo Yang Min-Fong Hong Jia Liu K. Rajawat P. Varshney FedML 50 63 0 19 Jun 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 65 131 0 15 Feb 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization Kaiyi Ji Yingbin Liang 45 57 0 07 Feb 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 199 258 0 15 Oct 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 116 415 0 06 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 79 273 0 31 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 65 346 0 14 Oct 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 74 433 0 10 Sep 2019
Momentum-Based Variance Reduction in Non-Convex SGD Ashok Cutkosky Francesco Orabona ODL 86 407 0 24 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 131 935 0 01 Feb 2019
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 101 266 0 25 Oct 2018
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 73 605 0 17 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,355 0 24 Jun 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 254 1,709 0 14 Apr 2018

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