most citedFederated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2024

Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition

Sannara Ek, Riccardo Presotto, Gabriele Civitarese +3

Human Activity Recognition (HAR) based on the sensors of mobile/wearable devices aims to detect the physical activities performed by humans in their daily lives. Although supervise…

cs.LG2022★ 10 cited

Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR

Sannara Ek, Romain Rombourg, François Portet +1

Federated Learning is a new machine learning paradigm dealing with distributed model learning on independent devices. One of the many advantages of federated learning is that train…