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

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cs.LG2025

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition

Bonpagna Kann, Sandra Castellanos-Paez, Romain Rombourg +1

As machine learning based systems become more integrated into daily life, they unlock new opportunities but face the challenge of adapting to dynamic data environments. Various for…

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…