183 citations · 216 across the 4 of their papers we have counts for
4 papers
Federated Learning with Heterogeneous Differential Privacy
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
Federated learning (FL) takes a first step towards privacy-preserving machine learning by training models while keeping client data local. Models trained using FL may still leak pr…
Coded Machine Unlearning
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
There are applications that may require removing the trace of a sample from the system, e.g., a user requests their data to be deleted, or corrupted data is discovered. Simply remo…
Threshold-Secure Coding with Shared Key
Nasser Aldaghri, Hessam Mahdavifar
Cryptographic protocols are often implemented at upper layers of communication networks, while error-correcting codes are employed at the physical layer. In this paper, we consider…
Physical Layer Secret Key Generation in Static Environments
Nasser Aldaghri, Hessam Mahdavifar
Two legitimate parties, referred to as Alice and Bob, wish to generate secret keys from the wireless channel in the presence of an eavesdropper, referred to as Eve, in order to use…