Federated Learning with Regularized Client Participation

Federated Learning with Regularized Client Participation

7 February 2023

Grigory Malinovsky

Samuel Horváth

Konstantin Burlachenko

Peter Richtárik

Papers citing "Federated Learning with Regularized Client Participation"

13 / 13 papers shown

Title
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Jincheol Jung Hongju Jeong Eui-Nam Huh 89 0 0 18 Dec 2024
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation Grigory Malinovsky Umberto Michieli Hasan Hammoud Taha Ceritli Hayder Elesedy Mete Ozay Peter Richtárik AI4CE 22 1 0 10 Oct 2024
Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis Herbert Woisetschläger Simon Mertel Christoph Krönke R. Mayer Hans-Arno Jacobsen FedML 24 2 0 11 Jul 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 23 1 0 04 May 2024
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly Herbert Woisetschläger Alexander Erben Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 24 17 0 04 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 10 1 0 04 Oct 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 16 6 0 28 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 17 0 0 06 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 24 8 0 05 Jun 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 22 27 0 06 Feb 2023
FL_PyTorch: optimization research simulator for federated learning Konstantin Burlachenko Samuel Horváth Peter Richtárik FedML 19 18 0 07 Feb 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,698 0 18 Mar 2020