3 papers
cs.CE2025
TubeBEND: A Real-World Dataset for Geometry Prediction in Rotary Draw Bending
Zeyneddin Oz, Jonas Knoche, Alireza Yazdani +2
This paper presents TubeBEND, a real-world dataset comprising 318 rotary tube bending processes, which were collected and sorted by experts from various fields to evaluate machine…
cs.LG2025
FedFitTech: A Baseline in Federated Learning for Fitness Tracking
Zeyneddin Oz, Shreyas Korde, Marius Bock +1
The rapid evolution of sensors and resource-efficient machine learning models has spurred the widespread adoption of wearable fitness tracking devices. Equipped with inertial senso…
cs.LG2024
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian +2
Federated Learning (FL) is commonly used in systems with distributed and heterogeneous devices with access to varying amounts of data and diverse computing and storage capacities.…