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Found 5 papers, 1 papers with code
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones
Unfortunately, however, the most popular federated learning algorithms have been shown not to be adapted to some highly heterogeneous pervasive computing environments.
Federated Continual Learning through distillation in pervasive computing
Current solutions rely on the availability of large amounts of stored data at the client side in order to fine-tune the models sent by the server.
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain
Federated Learning has been introduced as a new machine learning paradigm enhancing the use of local devices.
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
About this, Federated Learning has been recently proposed for distributed model training in the edge.
A distillation-based approach integrating continual learning and federated learning for pervasive services
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 smart services.
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