Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response

Ozer Ozturk, Busra Buyuktanir, Gozde Karatas Baydogmus +1

Machine learning models used for distributed architectures consisting of servers and clients require large amounts of data to achieve high accuracy. Data obtained from clients are…