Source Code for Federated Edge Learning over Optical-UAV Access Links with Deterministic-Payload Compression and Packetized Scheduling

作者：Julian Hoxha · 发表于：Figshare · 年份：2026 · DOI：10.6084/m9.figshare.33867373 · 研究领域：Computer science、Computer network、Distributed computing、Real-time computing

This code-only package accompanies the manuscript “Federated Edge Learning over Optical-UAV Access Links With Deterministic-Payload Compression and Packetized Scheduling.”The software implements static mixed-resolution compression with error feedback (SMR-EF) and PacketFair scheduling for simulated federated learning over optical links between clients and unmanned aerial vehicles. SMR-EF represents model updates using a base packet and progressive enhancement packets. PacketFair assigns delivery levels subject to bandwidth, power, communication-time, and access-deadline constraints. Error feedback is computed from the reconstruction actually delivered to the server.The implementation supports investigation of communication efficiency, reconstruction quality, and scheduling feasibility within the CIFAR-10/ResNet-20 experimental setting described in the manuscript. This deposit provides source code and accompanying usage documentation for inspecting the implementation, reusing its components, and running new experiments.