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Continual Local Training for Better Initialization of Federated Models

Continual Local Training for Better Initialization of Federated Models

26 May 2020
Xin Yao
Lifeng Sun
    FedML
ArXivPDFHTML

Papers citing "Continual Local Training for Better Initialization of Federated Models"

13 / 13 papers shown
Title
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian
Ruijie Quan
Fan Ma
Kun Zhan
Yi Yang
36
1
0
24 Jan 2025
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
40
0
0
11 Aug 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
41
1
0
02 Jul 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
41
33
0
27 Dec 2023
Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good
Jimit Majmudar
Christophe Dupuy
Jixuan Wang
Charith Peris
Clement Chung
Richard Zemel
Rahul Gupta
25
2
0
23 Oct 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
44
250
0
20 Jul 2023
Asynchronous Federated Continual Learning
Asynchronous Federated Continual Learning
Donald Shenaj
Marco Toldo
Alberto Rigon
Pietro Zanuttigh
FedML
CLL
26
34
0
07 Apr 2023
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
Federated Learning from Only Unlabeled Data with
  Class-Conditional-Sharing Clients
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
FedML
27
40
0
07 Apr 2022
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Towards More Efficient Federated Learning with Better Optimization
  Objects
Towards More Efficient Federated Learning with Better Optimization Objects
Zirui Zhu
Ziyi Ye
FedML
21
0
0
19 Aug 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
846
0
01 Mar 2021
1