Application of federated learning in manufacturing. - Vinit Hegiste; Tatjana Legler; Martin Ruskowski (CoRR, 2022)

Federated Object Detection for Quality Inspection in Shared Production. - Vinit Hegiste; Tatjana Legler; Kirill Fridman; Martin Ruskowski (FMEC, 2023)

Federated Ensemble YOLOv5 - A Better Generalized Object Detection Algorithm. - Vinit Hegiste; Tatjana Legler; Martin Ruskowski (FMEC, 2023)

Federated Object Detection for Quality Inspection in Shared Production. - Vinit Hegiste; Tatjana Legler; Martin Ruskowski (CoRR, 2023)

Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment. - Tatjana Legler; Vinit Hegiste; Ahmed Anwar; Martin Ruskowski (ISM, 2024)

Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios. - Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli; Snehal Walunj; Christiane Plociennik; Martin Ruskowski (CoRR, 2024)

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data. - Ahmed Anwar; Brian B. Moser; Dayananda Herurkar; Federico Raue; Vinit Hegiste; Tatjana Legler; Andreas Dengel 001 (CoRR, 2024)

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques. - Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski (CoRR, 2024)

Seamless Integration: Sampling Strategies in Federated Learning Systems. - Tatjana Legler; Vinit Hegiste; Martin Ruskowski (CoRR, 2024)

Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing. - Vinit Hegiste; Tatjana Legler; Martin Ruskowski (CoRR, 2024)