FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity

15 April 2024

Papers citing "FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity"

7 / 7 papers shown

Title
FedSpaLLM: Federated Pruning of Large Language Models Guangji Bai Yijiang Li Zilinghan Li Liang Zhao Kibaek Kim FedML 60 4 0 20 Feb 2025
Symmetric Pruning of Large Language Models Kai Yi Peter Richtárik AAML VLM 57 0 0 31 Jan 2025
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo C. L. P. Chen Shandong Wu FedML VLM MoE 52 3 0 14 Oct 2024
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 61 20 0 28 Oct 2022
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization Rafal Szlendak A. Tyurin Peter Richtárik 122 35 0 07 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
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 181 267 0 26 Feb 2021