Cross-device federated learning for mobile health diagnostics: A first study on COVID-19 detection

T Xia, J Han, A Ghosh… - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …
被引用次数：5 相关文章
[PDF] cam.ac.uk

[PDF][PDF] CROSS-DEVICE FEDERATED LEARNING FOR MOBILE HEALTH DIAGNOSTICS: A FIRST STUDY ON COVID-19 DETECTION

T Xia, J Han, A Ghosh, C Mascolo - mobile-systems.cl.cam.ac.uk
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

T Xia, J Han, A Ghosh, C Mascolo - arXiv preprint arXiv:2303.07067, 2023 - arxiv.org
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

T Xia, J Han, A Ghosh… - … on Acoustics, Speech …, 2023 - research.birmingham.ac.uk
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

T Xia, J Han, A Ghosh, C Mascolo - 2023 - europepmc.org
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

T Xia, J Han, A Ghosh, C Mascolo - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Federated learning (FL) aided health diagnostic models can incorporate data from a large
number of personal edge devices (eg, mobile phones) while keeping the data local to the …