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Siva Chandrasekaran

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#federated learning Open access Aug 2026

FusionNet Lite: Lightweight Sequence Fusion for Predictive Maintenance in Industrial IoT

Reproducibility capsule for FusionNet Lite, a lightweight sequence-fusion deep-learning pipeline for predictive maintenance in industrial IoT systems. The campaign evaluates FusionNet Lite alongside CNN, BiLSTM, MLP, and CNN-LSTM baselines using centralized and FedAvg federated training across five seeds. The capsule includes leakage-safe preprocessing, stratified AI4I splitting, event-aware chronological MetroPT3 splitting with all rows retained, Dirichlet label non-IID client allocation, integrated-gradients analysis, statistical comparisons, publication tables and figures, and a consistency audit. Dataset files are placeholders in this capsule. Full reproducible execution requires attaching the authorised AI4I 2020 and MetroPT3 datasets under /data before selecting full mode.

Aman Sharma, Kwan Yong Sim, Siva Chandrasekaran · 0 citations