Track 9. Machine Learning, Privacy Computing and Federated Learning

Submit Online: https://www.easychair.org/conferences/?conf=prai2025 (Please choose Track 9)

Chair:
Applications of federated learning in different domains Privacy-preserving machine learning algorithms Ethical AI and fairness in machine learning Explainable AI techniques in privacy-aware environments Real-world use cases for privacy computing Data ownership and consent management Adaptive learning algorithms for heterogeneous data Security challenges in federated networks Cross-domain generalization in machine learning models Future directions in privacy-preserving technologies