Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
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Int'l conference on machine learning
Participants wait to enter this year's International Conference on Machine Learning, a premier international forum in machine ...
Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
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