Upcoming · IEEE ICDM 2026 · Shenyang, China
Trustworthy Federated Learning for Smart Industrial Systems
TrustFL-SIS is an IEEE ICDM 2026 workshop focused on making Federated Learning more reliable, secure, explainable and deployable in real-world industrial environments.
Topics
- Trustworthy, explainable and responsible Federated Learning
- Robustness, fairness and personalization under heterogeneous data
- Privacy, security, attacks and secure aggregation
- Industrial time series, predictive maintenance and anomaly detection
- Digital Twins, Industrial IoT and edge intelligence
- Real-world deployment of federated and distributed AI
The workshop is designed to connect methodological research with deployment requirements in smart industrial systems.