Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks

Uncrewed aerial vehicle (UAV)-enabled federated learning (FL) can provide flexible, on-demand edge intelligence for large-scale IoT deployments, but operating in shared unlicensed bands makes uplink update delivery interference-coupled and unreliable. In this paper, we develop a packet-level transmission framework that captures buffer overflow, delay violations, and transmission errors, and uses the resulting packet delivery ratio (PDR) to represent partial-update reception through a packetized,

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ethics.ai (1 August 2026), “Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks,” evidence record 16132, https://ethics.ai/record/16132 (originally published by arXiv fairness query).

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