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Federated selective aggregation for on-device knowledge amalgamation

ABSTRACT: In the current work, we explored a new knowledge amalgamation problem, termed Federated Selective Aggregation for on-device knowledge amalgamation (FedSA). FedSA aims to train an on-device student model for a new task with the help of several decentralized teachers whose pre-training tasks...

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Principais autores: Donglin Xie, Ruonan Yu, Gongfan Fang, Jiaqi Han, Jie Song, Zunlei Feng, Li Sun, Mingli Song
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2023-09-01
Serier:Chip
Fag:
Federated learning
Knowledge amalgamation
Model reusing
Online adgang:http://www.sciencedirect.com/science/article/pii/S2709472323000163
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