1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Ozan Aygün, Vincenzo Norman Vitale, Antonia M. Tulino +3
Next-generation networks aim to provide performance guarantees to real-time interactive services that require timely and cost-efficient packet delivery. In this context, the goal i…
Neural Compress-and-Forward for the Primitive Diamond Relay Channel
Ozan Aygün, Ezgi Ozyilkan, Elza Erkip
The diamond relay channel, where a source communicates with a destination via two parallel relays, is one of the canonical models for cooperative communications. We focus on the pr…
Over-the-Air Federated Edge Learning with Hierarchical Clustering
Ozan Aygün, Mohammad Kazemi, Deniz Gündüz +1
We examine federated learning (FL) with over-the-air (OTA) aggregation, where mobile users (MUs) aim to reach a consensus on a global model with the help of a parameter server (PS)…
Over-the-Air Federated Learning with Energy Harvesting Devices
Ozan Aygün, Mohammad Kazemi, Deniz Gündüz +1
We consider federated edge learning (FEEL) among mobile devices that harvest the required energy from their surroundings, and share their updates with the parameter server (PS) thr…
Hierarchical Over-the-Air Federated Edge Learning
Ozan Aygün, Mohammad Kazemi, Deniz Gündüz +1
Federated learning (FL) over wireless communication channels, specifically, over-the-air (OTA) model aggregation framework is considered. In OTA wireless setups, the adverse channe…