351. Delay and Overhead Efficient Transmission Scheduling for Federated Learning in UAV Swarms
- Author
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Hoang, Duc N. M., Truong, Vu Tuan, Le, Hung Duy, and Le, Long Bao
- Subjects
Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Information Theory ,Computer Science - Networking and Internet Architecture ,Electrical Engineering and Systems Science - Systems and Control - Abstract
This paper studies the wireless scheduling design to coordinate the transmissions of (local) model parameters of federated learning (FL) for a swarm of unmanned aerial vehicles (UAVs). The overall goal of the proposed design is to realize the FL training and aggregation processes with a central aggregator exploiting the sensory data collected by the UAVs but it considers the multi-hop wireless network formed by the UAVs. Such transmissions of model parameters over the UAV-based wireless network potentially cause large transmission delays and overhead. Our proposed framework smartly aggregates local model parameters trained by the UAVs while efficiently transmitting the underlying parameters to the central aggregator in each FL global round. We theoretically show that the proposed scheme achieves minimal delay and communication overhead. Extensive numerical experiments demonstrate the superiority of the proposed scheme compared to other baselines., Comment: accepted to WCNC'24
- Published
- 2024