anasm3/FL-IDPS: FL-IDPS v1.0.0 - Initial Release
Abstract
FL-IDPS v1.0.0 - Initial Release Federated Deep Learning Framework for Privacy-Preserving Intrusion Detection and Prevention in IoT Networks. Features FedDLMIDPSM model with 5 hidden layers Differential Privacy (configurable ε) 90% gradient compression via Top-K sparsification Intrusion Prevention System (IPS) CICIoT2023 dataset support Files fl_idps.py - Main implementation data_loader.py - Dataset loader examples/demo.ipynb - Tutorial notebook
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Network Security and Intrusion Detection
Internet Traffic Analysis and Secure E-voting
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026