FedSelect: Customized Selection of Parameters for Fine-Tuning during
Personalized Federated Learning

FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning

23 June 2023

Rishub Tamirisa

Andy Zhou

Papers citing "FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning"

5 / 5 papers shown

Title
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 60 0 0 29 Apr 2025
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 43 5 0 18 Jun 2024
Gradient-Congruity Guided Federated Sparse Training Chris Xing Tian Yibing Liu Haoliang Li Ray C.C. Cheung Shiqi Wang FedML 21 1 0 02 May 2024
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
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 162 563 0 27 Jul 2020