3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation
Mahtab Talaei, Iman Izadi
Federated learning (FL), a novel branch of distributed machine learning (ML), develops global models through a private procedure without direct access to local datasets. However, i…
cs.DC2024
Comments on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis"
Mahtab Talaei, Iman Izadi
In the paper by Wei et al. ("Federated Learning with Differential Privacy: Algorithms and Performance Analysis"), the convergence performance of the proposed differential privacy a…
cs.CR2024★ 3 cited
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Mahtab Talaei, Iman Izadi
Federated learning (FL) as one of the novel branches of distributed machine learning (ML), develops global models through a private procedure without direct access to local dataset…