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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
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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
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
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
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
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
98
421
0
16 Nov 2019
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
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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