Federated Continual Learning with Adaptive Parameter Communication

6 Mar 2020Jaehong YoonWonyong JeongGiwoong LeeEunho YangSung Ju Hwang

There has been a surge of interest in continual learning and federated learning, both of which are important in training 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 private local data... (read more)

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