All Stories

  1. Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol
  2. Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT
  3. Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
  4. 3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications
  5. Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data
  6. Engineering Carbon Emission-aware Machine Learning Pipelines
  7. REPTILE: a Tool for Replay-driven Continual Learning in IIoT
  8. Edge-based Data Profiling and Repair as a Service for IoT
  9. Automated Behavior Labeling for IIoT Data
  10. Discovering high-level abstractions from time-varying manufacturing sensor data