Automobile repossession is a resource-constrained process in which lenders, forwarders, and recovery agencies must prioritize delinquent vehicle assignments with limited operational capacity. Prior work shows that assignment-level operational data can support repossession prediction, but less is known about whether geo...
Andy Sinclair, Preston Billion-Polak, T. Khoshgoftaar· IEEE Access· 0 citations
Federated Learning (FL) trains shared models across distributed clients without pooling raw data, but its behaviour under heterogeneous data distributions and the associated privacy risks remain imperfectly understood. This paper presents a controlled empirical comparison of Federated Averaging (FedAvg), Federated Prox...
Imowo J. Enang, Joffrey L. Leevy, Preston Billion-Polak et al.· International Conference on...· 0 citations
A concise two-axis framework that integrates an “intrinsic-extrinsic” distinction in source attribution introduced by Ji et al. with a “faithfulness-factuality” distinction in contextual grounding surveyed is presented, yielding four clearly defined hallucination types applicable across tasks, modalities and architectu...
Misbah Khan, Preston Billion-Polak, T. Khoshgoftaar· IEEE Access· 0 citations
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