Multi-modal object ReID leverages complementary data from diverse modalities (e.g., RGB, NIR, TIR) to overcome challenges like poor lighting and occlusion. MambaPro advances this field by: conda ...
Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...
Abstract: Federated learning provides a collaborative way to build machine learning models without sharing private data. However, attackers might infer private information from model updates submitted ...
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