In recent years, different types of review systems have been developed with the
recommender system (RS). RSs are developed based on user textual reviews, ratings, and …

The emerging concern about data privacy and security has motivated the proposal of
federated learning. Federated learning allows computing nodes to only synchronize the …

This paper offers a nearly optimal algorithm for online linear optimization with delayed
bandit feedback. Online linear optimization with bandit feedback, or nonstochastic linear …

Abstract The Internet of Things (IoT) enables smart objects to connect and share information,
thus unlocking the potential for end users to receive more and better information and …

The ever-growing amount of data available on the Internet calls for personalization. Yet, the
most effective personalization schemes, such as those based on collaborative filtering (CF) …

Abstract NOA-AID (Network Overlays for Adaptive information Aggregation, Indexing and
Discovery on the fog) is an approach for decentralized indexing, aggregation and discovery …