HIGHLIGHTS
- who: Riccardo Presotto from the Deptof Computer Science, University of Milan, Milan, Italy have published the paper: Semi-supervised and personalized federated activity recognition based on active learning and label propagation, in the Journal: (JOURNAL)
- what: The authors propose FedAR: a novel hybrid method for HAR that combines semi-supervised and federated learning to take advantage of the strengths of both approaches. The authors propose a novel strategy to reliably evaluate the evolution of the personalization and generalization capabilities of FedAR over time.. Differently from this work, the authors do not assume the existence of . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.