Discussion forums are widely used in online courses (Horstmanshof & Brownie, 2013; Kipling et al., 2023), and will likely continue to be a commonly used tool in online education. If used well, they ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
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 ...
Abstract: This letter focuses on asynchronous voice anonymization, wherein machine-discernible speaker attributes in a speech utterance are obscured while human perception is preserved. We propose to ...
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