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Moreau envelopes-based personalized asynchronous federated learning: improving practicality in distributed machine learning
(2023)Federated learning is a promising approach for training models on distributed data, driven by increasing demand in various industries. However, it faces several challenges, including communication bottlenecks and client ... -
Privacy-preserving EEG data frameworks for brain-computer interfaces
(2024)Non-invasive brain-computer interface (BCI) systems rely on brainwave activity, predomi- nantly captured through Electroencephalography (EEG), to facilitate seamless interactions with digital platforms. Throughout its ...
