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Found 3 papers, 1 papers with code
Personalized Federated Learning with Contextual Modulation and Meta-Learning
These findings highlight the potential of incorporating contextual information and meta-learning techniques into federated learning, paving the way for advancements in distributed machine learning paradigms.
Advances and Challenges in Meta-Learning: A Technical Review
This review provides a comprehensive technical overview of meta-learning, emphasizing its importance in real-world applications where data may be scarce or expensive to obtain.
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection
Furthermore, the results support our initial hypothesis that there is no single perfect context that successfully uncovers all kinds of contextual anomalies, and leveraging the "wisdom" of multiple contexts is necessary.
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