Enabling Real-Time AI at the Edge: Federated Learning Framework with Privacy Preservation
Prof. Abhishek Vishwakarma, Prof. Shivam Tiwari, Prof. Ranu Sahu, Prashu Jain, Sakshi Jain · International Journal of Innovative Research in Computer and Communication Engineering · 2023
This abstract introduces a federated learning framework designed for edge computing environments, enabling real-time AI applications while safeguarding user privacy. The framework leverages distributed edge devices for collaborative model training without central data aggregation, incorporating privacy-preserving techniques like differential privacy and secure aggregation. Experimental validation demonstrates its effectiveness in maintaining model accuracy and ensuring data confidentiality, supporting its suitability for edge-based AI implementations.