Personalized Federated Learning with Server-Side Information

Personalized Federated Learning with Server-Side Information

23 May 2022

Papers citing "Personalized Federated Learning with Server-Side Information"

9 / 9 papers shown

Title
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 109 0 0 26 Mar 2025
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 50 0 0 29 Jul 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 57 0 0 04 Jun 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 58 0 0 03 May 2024
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Yingchun Wang Jingcai Guo Jie Zhang Song Guo Weizhan Zhang Qinghua Zheng FedML 60 11 0 09 Feb 2023
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling Yuxi Zhao Xiaowen Gong S. Mao FedML 27 7 0 31 Jan 2023
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 565 0 27 Jul 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,692 0 14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 632 11,762 0 09 Mar 2017