3 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
CBAG: An Efficient Genetic Algorithm for the Graph Burning Problem
Mahdi Nazeri, Ali Mollahosseini, Iman Izadi
Information spread is an intriguing topic to study in network science, which investigates how information, influence, or contagion propagate through networks. Graph burning is a si…