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DisPFL: Towards Communication-Efficient Personalized Federated Learning
  via Decentralized Sparse Training

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training

1 June 2022
Rong Dai
Li Shen
Fengxiang He
Xinmei Tian
Dacheng Tao
    FedML
ArXivPDFHTML

Papers citing "DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training"

17 / 17 papers shown
Title
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
Zhihao Zeng
Ziquan Fang
Wei Shao
Lu Chen
Yunjun Gao
FedML
51
0
0
08 May 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Shunxin Guo
Jiaqi Lv
Xin Geng
49
0
0
27 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
24
0
0
09 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
32
0
0
03 Oct 2024
Federated Distillation for Medical Image Classification: Towards
  Trustworthy Computer-Aided Diagnosis
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
Sufen Ren
Yule Hu
Shengchao Chen
Guanjun Wang
29
1
0
02 Jul 2024
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
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
30
0
0
07 Mar 2024
Efficient Model Personalization in Federated Learning via
  Client-Specific Prompt Generation
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Fu-En Yang
Chien-Yi Wang
Yu-Chiang Frank Wang
VLM
FedML
31
59
0
29 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
Structured Cooperative Learning with Graphical Model Priors
Structured Cooperative Learning with Graphical Model Priors
Shuang-Yang Li
Dinesh Manocha
Xinmei Tian
Dacheng Tao
32
0
0
16 Jun 2023
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
29
222
0
15 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
30
2
0
08 Nov 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
30
28
0
29 Sep 2022
Personalized Federated Learning by Structured and Unstructured Pruning
  under Data Heterogeneity
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Saeed Vahidian
Mahdi Morafah
Bill Lin
59
58
0
02 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
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
186
267
0
26 Feb 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
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