Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3195207
Abstract: Federated learning enables distributed model training over various computing nodes, e.g., mobile devices, where instead of sharing raw user data, computing nodes can solely commit model updates without compromising data privacy. The quality of federated… read more here.
Keywords: model aggregation; quality; learning quality; federated learning ... See more keywords
Quality indicators for learner-centered postgraduate medical e-learning
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DOI: 10.5116/ijme.58ce.60aa
Abstract: Objectives The objectives of this study were to identify the needs and expectations of learners and educational experts in postgraduate medical e-learning, and to contribute to the current literature. Methods We performed four focus-group discussions… read more here.
Keywords: quality indicators; postgraduate medical; learning quality; medical learning ... See more keywords