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Found 4 papers, 0 papers with code
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
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.
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
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.
Lightweight Transformer in Federated Setting for Human Activity Recognition
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.
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Nevertheless, training deep learning models normally requires a large amount of data and it can lead to privacy concerns.
