StatAvg: Mitigating Data Heterogeneity in Federated Learning for
Intrusion Detection Systems
StatAvg: Mitigating Data Heterogeneity in Federated Learning for
Intrusion Detection Systems
Federated learning (FL) is a decentralized learning technique that enables participating devices to collaboratively build a shared Machine Leaning (ML) or Deep Learning (DL) model without revealing their raw data to a third party. Due to its privacy-preserving nature, FL has sparked widespread attention for building Intrusion Detection Systems (IDS) …