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Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices., , and . IOT, page 6:1-6:8. ACM, (2020)RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices., , and . IOT, page 5:1-5:8. ACM, (2020)ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT., , , , , , , and . SenSys, page 382-383. ACM, (2021)Semantic Discovery and Integration of Urban Data Streams., , and . S4SC@ISWC, volume 1280 of CEUR Workshop Proceedings, page 15-30. CEUR-WS.org, (2014)Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract., , , , , and . IoTDI, page 265-266. ACM, (2021)Towards Designing an Explainable-AI based Solution for Livestock Mart Industry., , , , , and . COMAD/CODS, page 421. ACM, (2021)Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe., , and . SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, page 107-114. IEEE, (2021)Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices., , , and . SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, page 97-106. IEEE, (2021)WOTS2E: A search engine for a Semantic Web of Things., , and . WF-IoT, page 436-441. IEEE Computer Society, (2016)Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing., , , , , and . IEEE Access, (2024)