Haris Gacanin

Injecting uncertainty samples into DNNs during federated training unlocks robust, near-centralized performance for joint communication and computation resource allocation in XR systems, outperforming state-of-the-art.

A closed-form SINR approximation for large-scale, partitioned RIS systems unlocks tractable design and reveals equal partitioning is near-optimal for sum-rate.