Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

The CAQ is not looking to adopt a provincial constitution written 'by the people, for the people,' but to serve its own partisan purposes You can save this article by registering for free here. Or ...

Abstract: The goal of this work is to detect new spoken terms defined by users. While most previous works address Keyword Spotting (KWS) as a closed-set classification problem, this limits their ...