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cs.LG2024
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…
cs.LG2022
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…