K Naveen Kumar

Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space

2024

Federated Learning (FL) facilitates clients to collaborate on training a shared machine learning model without exposing individual private data. Nonetheless, FL remains susceptible to utility and privacy attacks, notably evasion data poisoning and model inversion …