33 citations · 38 across the 3 of their papers we have counts for
3 papers
Federated Continual Learning through distillation in pervasive computing
Anastasiia Usmanova, François Portet, Philippe Lalanda +1
Federated Learning has been introduced as a new machine learning paradigm enhancing the use of local devices. At a server level, FL regularly aggregates models learned locally on d…
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain
Anastasiia Usmanova, François Portet, Philippe Lalanda +1
Federated Learning has been introduced as a new machine learning paradigm enhancing the use of local devices. At a server level, FL regularly aggregates models learned locally on d…
A distillation-based approach integrating continual learning and federated learning for pervasive services
Anastasiia Usmanova, François Portet, Philippe Lalanda +1
Federated Learning, a new machine learning paradigm enhancing the use of edge devices, is receiving a lot of attention in the pervasive community to support the development of smar…