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, Bernoulli-masked FL aggregation process. We then formulate a fairness-consensus bilevel (FCB) optimization that jointly controls (i) transmission thresholds to maximize the average PDR while reach...
| Authors | Masoud Ghazikor, Zhou Ni, Morteza Hashemi |
|---|---|
| Primary category | cs.IT |
| Published | 1 August 2026 |
| Last updated at source | 1 August 2026 |
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