Walid Saad

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning

2021 · IEEE Transactions on Communications

Cooperative perception plays a vital role in extending a vehicle’s sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited communication resources is infeasible. Towards enabling an efficient cooperative perception, vehicles need to …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

2021 · arXiv (Cornell University)

The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected by edge devices for inference, autonomy, and decision making purposes. However, due to …

Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design

2022 · arXiv (Cornell University)

In this paper, a green-quantized FL framework, which represents data with a finite precision level in both local training and uplink transmission, is proposed. Here, the finite precision level is captured through the use of …

On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications

2024 · arXiv (Cornell University)

Semantic communication (SC) is recognized as a promising approach for enabling reliable communication with minimal data transfer while maintaining seamless connectivity for a group of wireless users. Unlocking the advantages of SC for multi-user cases …