Abstract: Deep neural networks suffer from catastrophic forgetting when trained on sequential tasks in continual learning. Various methods rely on storing data of previous tasks to mitigate ...
Abstract: Federated Learning (FL) is an emerging distributed machine learning approach. It enables a server to aggregate model parameters from local users iteratively without requiring access to ...
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