Browsing by Subject "Federated learning"
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Federated learning framework and energy disaggregation techniques for residential energy management
(2023)Residential energy use is a significant part of total power usage in developed countries. To reduce overall energy use and save funds, these countries need solutions that help them keep track of how different appliances ... -
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 ...