CESNET-QUIC-22

The 'CESNET-QUIC-22' dataset is a real-world dataset used to evaluate federated learning approaches for QUIC classification, specifically addressing the challenges posed by temporal traffic volatility in network activity.

Papers using CESNET-QUIC-22 (1)

Taming Volatility: Stable and Private QUIC Classification with Federated Learning2025