2 papers
cs.CR2026
Federated Learning Architecture: Data Privacy and System Security Approaches
Cagdas Karatas, Hibanur Karadogan, Ahmet Yasin Ertug +3
This study explores the integration of homomorphic encryption and differential privacy techniques to enhance data privacy and security in Federated Learning (FL) systems. FL allows…
cs.CR2025
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…