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Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...
Abstract: Sparse and asynchronous sensing and processing in natural organisms lead to ultra low-latency and energy-efficient perception. Inspired by these characteristics, event cameras have attracted ...
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