Adrián Pekár

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 …

On the Feasibility of Inter-Flow Service Degradation Detection

2025 · arXiv (Cornell University)

Hardware acceleration in modern networks creates monitoring blind spots by offloading flows to a non-observable state, hindering real-time service degradation (SD) detection. To address this, we propose and formalize a novel inter-flow correlation framework, built …