Distributed Personalized Empirical Risk Minimization

26 October 2023

Papers citing "Distributed Personalized Empirical Risk Minimization"

6 / 6 papers shown

Title
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Chaouki Ben Issaid Praneeth Vepakomma Mehdi Bennis 71 0 0 03 Feb 2025
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li 19 1 0 20 Mar 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 27 4 0 06 Dec 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 29 50 0 21 Feb 2023
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
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 183 535 0 30 Mar 2020