Center for Scalable Data Analytics and Artificial Intelligence

Fair distributed machine learning with imbalanced data as a Stackelberg evolutionary game

Abstract Decentralised machine learning systems trained on heterogeneous and imbalanced data face a fundamental tension between predictive performance and equitable contribution across participating nodes. Here, we introduce two contribution-weighting mechanisms inspired by the p...

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization

City administrations increasingly rely on comprehensive databases and digital twins of city assets, such as traffic signs and trees, as well as incidents such as graffiti or road damage, to maintain an effective overview of urban conditions. Digitization has increased the demand...

Transcriptome Dynamics From Primary Gastric Cancer to Peritoneal Metastases: Translational Insights for Surgical Oncology

BACKGROUND AND AIMS: Peritoneal metastases (PMs) represent the most frequent, clinically challenging dissemination pattern in advanced gastric cancer, especially poorly cohesive (PCGC) subtype, and are associated with poor prognosis. We aimed to characterize the transcriptomic la...

Robotic group formation with phosphorescent trails

<title>Abstract</title> Stigmergy is an alternative to direct communication if unavailable. We evaluate whether group formation tasks are possible for swarm robots using stigmergic communication. Our aim is to control the size of a group. We show this is possible in experiments u...