8 citations · 17 across the 4 of their papers we have counts for
5 papers
Bayesian Federated Learning: A Survey
Longbing Cao, Hui Chen, Xuhui Fan +3
Federated learning (FL) demonstrates its advantages in integrating distributed infrastructure, communication, computing and learning in a privacy-preserving manner. However, the ro…
Open challenges for Machine Learning based Early Decision-Making research
Alexis Bondu, Youssef Achenchabe, Albert Bifet +6
More and more applications require early decisions, i.e. taken as soon as possible from partially observed data. However, the later a decision is made, the more its accuracy tends…
Federated Anomaly Detection over Distributed Data Streams
Paula Raissa Silva, João Vinagre, João Gama
Sharing of telecommunication network data, for example, even at high aggregation levels, is nowadays highly restricted due to privacy legislation and regulations and other importan…
Multi-label Stream Classification with Self-Organizing Maps
Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva +1
Several learning algorithms have been proposed for offline multi-label classification. However, applications in areas such as traffic monitoring, social networks, and sensors produ…
Mining Human Mobility Data to Discover Locations and Habits
Thiago Andrade, Brais Cancela, João Gama
Many aspects of life are associated with places of human mobility patterns and nowadays we are facing an increase in the pervasiveness of mobile devices these individuals carry. Po…