4 citations · 4 across the 3 of their papers we have counts for
3 papers
A Simulated Federated Analysis of MS-Induced Brain Lesions
Evelyn Trautmann, Joël Federer-Gsponer, Markus C. Elze +1
Federated techniques such as federated learning and federated analysis have emerged as a powerful paradigm for enabling multi-center research on sensitive clinical data while prese…
Insights into the Unknown: Federated Data Diversity Analysis on Molecular Data
Markus Bujotzek, Evelyn Trautmann, Calum Hand +1
AI methods are increasingly shaping pharmaceutical drug discovery. However, their translation to industrial applications remains limited due to their reliance on public datasets, l…
Aggregating Low Rank Adapters in Federated Fine-tuning
Evelyn Trautmann, Ian Hales, Martin F. Volk
Fine-tuning large language models requires high computational and memory resources, and is therefore associated with significant costs. When training on federated datasets, an incr…