2 papers
cs.LG2025
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…
cs.LG2025
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…