205 citations · 230 across the 6 of their papers we have counts for
6 papers
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T. Q. D. Pham, K. D. Tran, Khanh T. P. Nguyen +3
As global industries transition towards Industry 5.0 predictive maintenance PM remains crucial for cost effective operations resilience and minimizing downtime in increasingly smar…
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Ensemble learning combines results from multiple machine learning models in order to provide a better and optimised predictive model with reduced bias, variance and improved predic…
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza, Shujun Li, Kim-Phuc Tran +2
Adversarial attacks such as poisoning attacks have attracted the attention of many machine learning researchers. Traditionally, poisoning attacks attempt to inject adversarial trai…
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza, Kim Phuc Tran, Ludovic Koehl +3
Human activity recognition (HAR) is a machine learning task with important applications in healthcare especially in the context of home care of patients and older adults. HAR is of…
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Deep learning play a vital role in classifying different arrhythmias using the electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large…
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach
H. D. Nguyen, K. P. Tran, X. Zeng +2
Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especial…