ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.11051
  4. Cited By
Fusion of Global and Local Knowledge for Personalized Federated Learning

Fusion of Global and Local Knowledge for Personalized Federated Learning

21 February 2023
Tiansheng Huang
Li Shen
Yan Sun
Weiwei Lin
Dacheng Tao
    FedML
ArXivPDFHTML

Papers citing "Fusion of Global and Local Knowledge for Personalized Federated Learning"

7 / 7 papers shown
Title
Decentralized Personalized Federated Learning based on a Conditional
  Sparse-to-Sparser Scheme
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
28
0
0
24 Apr 2024
FedSpeed: Larger Local Interval, Less Communication Round, and Higher
  Generalization Accuracy
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
36
51
0
21 Feb 2023
Factorized-FL: Agnostic Personalized Federated Learning with Kernel
  Factorization & Similarity Matching
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching
Wonyong Jeong
Sung Ju Hwang
FedML
37
4
0
01 Feb 2022
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
67
166
0
29 Sep 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
71
605
0
02 Sep 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
1