Federated learning is a distributed learning approach where multiple participants (contributors) collaborate to collectively train a machine learning model without sharing their local data directly. Instead of sending raw data to a central server, federated learning...
Functional Encryption (FE) is an emerging cryptographic technique that enables selective computations over encrypted data. In short, it allows a user (e.g., a data analyst) with a specific functional decryption key to determine a certain result of encrypted data...
