5 citations · 10 across the 9 of their papers we have counts for
4 papers · 1 filter
Fixed-Persona SLMs with Modular Memory: Scalable NPC Dialogue on Consumer Hardware
Martin Braas, Lukas Esterle
Large Language Models (LLMs) have demonstrated remarkable capabilities in generating human-like text, yet their applicability to dialogue systems in computer games remains limited.…
Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Johan Andreas Balle Rubak, Khuram Naveed, Sanyam Jain +3
Objectives: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic AI. We compared FL with centralized…
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset
Abhisek Ray, Lukas Esterle
Federated Learning (FL) has emerged as a powerful paradigm for training machine learning models across distributed data sources while preserving data locality. However, the privacy…
Software Engineering for Self-Adaptive Robotics: A Research Agenda
Hassan Sartaj, Shaukat Ali, Ana Cavalcanti +6
Self-adaptive robotic systems operate autonomously in dynamic and uncertain environments, requiring robust real-time monitoring and adaptive behaviour. Unlike traditional robotic s…