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PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning

30 July 2024
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
    CLL
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Papers citing "PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning"

4 / 4 papers shown
Title
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
151
455
0
01 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
172
174
0
02 Mar 2021
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,185
0
30 Oct 2016
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