13 citations · 13 across the 3 of their papers we have counts for
4 papers
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding
Sofiane Laridi, Gregory Palmer, Kam-Ming Mark Tam
In Federated Learning (FL), anomaly detection (AD) is a challenging task due to the decentralized nature of data and the presence of non-IID data distributions. This study introduc…
Developing an AI-enabled IIoT platform -- Lessons learned from early use case validation
Holger Eichelberger, Gregory Palmer, Svenja Reimer +6
For a broader adoption of AI in industrial production, adequate infrastructure capabilities are crucial. This includes easing the integration of AI with industrial devices, support…
Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning
Jeff Reimer, Yandong Wang, Sofiane Laridi +3
In car-body production the pre-formed sheet metal parts of the body are assembled on fully-automated production lines. The body passes through multiple stations in succession, and…
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition
Yi Chang, Sofiane Laridi, Zhao Ren +3
Due to the development of machine learning and speech processing, speech emotion recognition has been a popular research topic in recent years. However, the speech data cannot be p…