Branka Vucetic

Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems

2020 · IEEE Transactions on Communications

Emerging recently as a novel concept in communication system design, end-to-end learning introduces deep neural networks (NNs) to represent the transmitter and receiver functions. Consequently, the whole system can be interpreted as an autoencoder (AE), …

Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities

2022 · IEEE Wireless Communications Letters

Federated learning (FL) emerges as a distributed training method in the Internet of Things (IoT), allowing participating clients to use their local data to train local models and upload parameters for global model aggregation after …

Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation

2023 · arXiv (Cornell University)

In this paper, we develop a deep learning-based bandwidth allocation policy that is: 1) scalable with the number of users and 2) transferable to different communication scenarios, such as non-stationary wireless channels, different quality-of-service (QoS) …