Sylvain Kubler

Quality-by-Design-engineered pBFT Consensus Configuration for Medical Device Development

2020

Health product development has been lately tainted by wariness in manufacturers, which has reduced trust in the system. It also affects Digital Health were patients' big data flows generated by numerous sensors are subject to …

FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning

2025 · arXiv (Cornell University)

Federated Learning (FL) enables collaborative model training across decentralized clients while preserving data privacy by keeping raw data local. However, FL suffers from significant communication overhead due to the frequent exchange of high-dimensional model updates …