Abstract: Federated learning (FL) is proposed to enable efficient machine learning while protecting the privacy of user data. In non-federated scenarios, machine learning models are vulnerable to ...
Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
Forbes contributors publish independent expert analyses and insights. Keely founded Making Space, closing the disability employment gap. "One of the most striking takeaways from SYNC25 was how many ...
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