no code implementations • 28 Dec 2022 • Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
We experimentally validated the performance of the proposed algorithm using ECG classification as an example application in healthcare, showing that the ensemble learning model outperformed all local models and even the FL-based global model.
no code implementations • 18 Jul 2022 • Ali Raza, Shujun Li, Kim-Phuc Tran, Ludovic Koehl
In federated learning (FL), data poisoning attacks can be generalized to model poisoning attacks, which cannot be detected by simpler methods due to the lack of access to local training data by the detector.
no code implementations • 1 Oct 2021 • Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi
Moreover, in home healthcare applications the centralized approach can raise serious privacy concerns since the sensors used by a HAR classifier collect a lot of highly personal and sensitive data about people in the home.
no code implementations • 26 May 2021 • Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li
Nevertheless, training deep learning models normally requires a large amount of data and it can lead to privacy concerns.