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FedMood: Federated Learning on Mobile Health Data for Mood Detection
[article]
2021
arXiv
pre-print
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First, we propose a general multi-view federated learning framework using multi-source data, which can extend any traditional machine learning model to support federated learning across different institutions ...
Secondly, we adopt late fusion methods to solve the problem of inconsistent time series of multi-view data. ...
More than 300 million people worldwide suffer from depression. ...
arXiv:2102.09342v6
fatcat:5qrvhw5pinci7ki4caqkoodi6q