Abstract: Personalized Federated Learning (pFL) can improve the accuracy of local models and provide enhanced edge intelligence without exposing the raw data in Mobile Edge Computing (MEC). However, ...
Abstract: Federated learning (FL) on the edge devices must support continual learning (CL) to handle continuously evolving the data and perform the model training in an energy-efficient manner to ...
One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...
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