Search Results for author:
Found 4 papers, 3 papers with code
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
This study presents a proof-of-concept using MobileSAM, a lightweight, pre-trained segmentation model, onboard Unibap iX10-100 satellite hardware.
Attacks on fairness in Federated Learning
It is now well understood that by controlling only a small subset of FL clients, it is possible to introduce a backdoor to a federated learning model, in the presence of certain attributes.
FDAPT: Federated Domain-adaptive Pre-training for Language Models
Foundation models (FMs) have shown prominent success in a wide range of tasks.
A Federated Learning Benchmark for Drug-Target Interaction
Aggregating pharmaceutical data in the drug-target interaction (DTI) domain has the potential to deliver life-saving breakthroughs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
