Richard Jozsa

Taming Volatility: Stable and Private QUIC Classification with Federated Learning

2025 · arXiv (Cornell University)

Federated Learning (FL) is a promising approach for privacy-preserving network traffic analysis, but its practical deployment is challenged by the non-IID nature of real-world data. While prior work has addressed statistical heterogeneity, the impact of …