M. H. M. Krishna Prasad

Provably secure federated learning with ECCDH-based group key agreement for enhanced privacy in collaborative model training

Federated Learning (FL) facilitates collaborative training of models without exchanging any data, thereby ensuring data locality. However, the exchange of local model updates is still susceptible to attacks such as gradient inference, model reconstruction, man-in-the-middle, replay, and tampering, which create consider...