4 citations · 4 across the 2 of their papers we have counts for
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★ 4 cited
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…