Dataset Groups Activity Stream An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices The proposed on-device federated learning approach is evaluated using three datasets: UAH-DriveSet, Smartphone HAR, and MNIST. BibTex: @dataset{Rei_Ito_and_Mineto_Tsukada_and_Hiroki_Matsutani_2024, abstract = {The proposed on-device federated learning approach is evaluated using three datasets: UAH-DriveSet, Smartphone HAR, and MNIST.}, author = {Rei Ito and Mineto Tsukada and Hiroki Matsutani}, doi = {10.57702/6a755rjo}, institution = {No Organization}, keyword = {'Anomaly Detection', 'Edge Devices', 'Federated Learning'}, month = {dec}, publisher = {TIB}, title = {An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices}, url = {https://service.tib.eu/ldmservice/dataset/an-on-device-federated-learning-approach-for-cooperative-model-update-between-edge-devices}, year = {2024} }
