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雷达卡
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon 1 * Wonyong Jeong 1 2 * Giwoong Lee 1 Eunho Yang 1 2 Sung Ju Hwang 1 2
Abstract
There has been a surge of interest in continual
learning and federated learning, both of which
are important in deep neural networks in real-
world scenarios. Yet little research has been
done regarding the scenario where each client
learns on a sequence of tasks from a private lo-
cal data stream. ...
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