Publikationen

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Vinit Hegiste; Tatjana Legler; Martin Ruskowski
Collaborative Learning in Shared Production Environment Using Federated Image Classification
In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.
Tatjana Legler; Vinit Hegiste; Martin Ruskowski
Multifaceted Applications of Federated Learning: Beyond Neural Networks
In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 271-278, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.
Tatjana Legler; Vinit Hegiste; Martin Ruskowski
Mapping of Newcomer Clients in Federated Learning Based on Activation Strength
In: Francisco J. G. Silva; António B. Pereira; Raul D. S. G. Campilho (Hrsg.). Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Cham, Pages 1139-1148, ISBN 978-3-031-38241-3, Springer Nature Switzerland, 2024.
Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski
Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios
In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.
Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques
In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.
Tatjana Legler; Vinit Hegiste; Martin Ruskowski
Seamless Integration: Sampling Strategies in Federated Learning Systems
In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.
Vinit Hegiste; Tatjana Legler; Martin Ruskowski
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.
Tatjana Legler; Vinit Hegiste; Ahmed Anwar; Martin Ruskowski
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
2024.
Vinit Hegiste; Tatjana Legler; Martin Ruskowski
Federated Object Detection for Quality Inspection in Shared Production
2023.
Vinit Hegiste; Tatjana Legler; Martin Ruskowski
Federated Ensemble YOLOv5 – A Better Generalized Object Detection Algorithm
In: 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC). International Conference on Fog and Mobile Edge Computing (FMEC-2023), September 18-20, Tartu, Estonia, Pages 7-14, IEEE, 2023.