Author

Ammar Summaq

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Open access 2026

AP3-FedFleet: Asynchronous Federated Learning With Dynamic Layer-Wise Privacy Protection for Heterogeneous IoT Systems

Federated learning (FL) enables multiple devices to collaboratively train machine learning models without sharing raw data, making it well-suited for Internet of Things (IoT) applications. However, this approach is not fully secure, as the exchanged gradients can still leak sensitive information. Attacks such as Deep L...

Mounika Mellamarthi, Ammar Summaq, Mukkara Prasanna Kumar et al. · IEEE Access · 0 citations

Open access 2026

Evolutionary Intelligence-Based IRS Deployment and Power Allocation for Sum-Rate Enhancement in 6G Networks

Comparative convergence shows that Grid Search provides a near-optimal benchmark at the expense of the highest computational complexity, whereas AO offers a lower-complexity sequential optimization alternative with competitive performance.

Mukkara Prasanna Kumar, Ammar Summaq, Nakka Shekhar et al. · IEEE Access · 0 citations