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Federated Class-Incremental Learning with New-Class Augmented
  Self-Distillation

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

1 January 2024
Zhiyuan Wu
Tianliu He
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Xue Jiang
    CLL
    FedML
ArXivPDFHTML

Papers citing "Federated Class-Incremental Learning with New-Class Augmented Self-Distillation"

6 / 6 papers shown
Title
FedCache: A Knowledge Cache-driven Federated Learning Architecture for
  Personalized Edge Intelligence
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Wen Wang
Xue Jiang
Bo Gao
Jin Lu
73
24
0
15 Aug 2023
No One Left Behind: Real-World Federated Class-Incremental Learning
No One Left Behind: Real-World Federated Class-Incremental Learning
Jiahua Dong
Hongliu Li
Yang Cong
Gan Sun
Yulun Zhang
Dengxin Dai
FedML
CLL
49
40
0
02 Feb 2023
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
66
674
0
28 Oct 2020
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
98
421
0
16 Nov 2019
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
75
845
0
08 Oct 2019
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
234
17,328
0
17 Feb 2016
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