Achieving Personalized Federated Learning with Sparse Local Models

27 January 2022

Li Shen

Papers citing "Achieving Personalized Federated Learning with Sparse Local Models"

27 / 27 papers shown

Title
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 31 0 0 07 Apr 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 84 0 0 19 Nov 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu AAML 40 21 0 26 Sep 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 26 0 0 24 Apr 2024
Personalized Federated Instruction Tuning via Neural Architecture Search Peng Zhang Yingbo Zhou Ming Hu Junxian Feng Jiawen Weng Mingsong Chen FedML 19 3 0 26 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model Tiansheng Huang Sihao Hu Ling Liu 44 33 0 02 Feb 2024
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 36 12 0 18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 26 5 0 17 Dec 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 28 51 0 27 Sep 2023
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective Ishmeet Kaur 30 2 0 25 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 24 6 0 28 Jul 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 34 10 0 24 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 103 47 0 04 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 33 5 0 02 May 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training Riyasat Ohib Bishal Thapaliya Pratyush Gaggenapalli J. Liu Vince D. Calhoun Sergey Plis FedML 13 2 0 15 Apr 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 17 54 0 20 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 21 18 0 15 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 48 12 0 21 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang Li Shen Yong Luo Han Hu Kehua Su Yonggang Wen Dacheng Tao FedML 13 9 0 15 Feb 2023
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge Sara Babakniya Souvik Kundu Saurav Prakash Yue Niu Salman Avestimehr FedML 13 9 0 27 Aug 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 11 51 0 21 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 11 111 0 01 Jun 2022
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications Yuzhu Mao Zihao Zhao Meilin Yang Le Liang Yang Liu Wenbo Ding Tian-Shing Lan Xiaoping Zhang FedML 14 22 0 05 Apr 2022
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity Saeed Vahidian Mahdi Morafah Bill Lin 59 58 0 02 May 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 162 564 0 27 Jul 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020