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Automated Behavior Labeling for IIoT Data., , , , and . IoT, page 174-178. ACM, (2023)Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning., and . SEAMS@ICSE, page 110-121. ACM, (2024)UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing., , , and . CAIN, page 159-169. ACM, (2022)Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps., , , , and . WiMob, page 363-368. IEEE, (2022)Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data., and . PETRA, ACM, (2024)Machine Learning for Fatigue Detection using Fitbit Fitness Trackers., , , , , and . icSPORTS, page 41-52. SCITEPRESS, (2022)INTEND: Intent-Based Data Operation in the Computing Continuum., , , , , , , , , and 22 other author(s). CAiSE Research Projects Exhibition, volume 3692 of CEUR Workshop Proceedings, page 43-50. CEUR-WS.org, (2024)Engineering Carbon Emission-aware Machine Learning Pipelines., , and . CAIN, page 118-128. ACM, (2024)REPTILE: a Tool for Replay-driven Continual Learning in IIoT., , , , and . IoT, page 204-207. ACM, (2023)Replay-Driven Continual Learning for the Industrial Internet of Things., , , , , and . CAIN, page 43-55. IEEE, (2023)