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Gaudence Tesha

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#federated learning Open access Sep 2026

A Noise-Aware Federated Learning Framework for Fish Spoilage Prediction in Small-Scale Fisheries: An Architecture-Controlled Performance Evaluation

Post-harvest fish spoilage remains a major challenge for small-scale fisheries in developing economies, with losses estimated at 25-30% attributed largely to inadequate cold chain monitoring at informal landing sites and markets. This paper presents a noise-aware Federated Learning (FL) framework for predicting fish sp...

Kelvin Sospeter, Gaudence Tesha · 0 citations

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