2 papers
cs.LG2024
QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning
Micha V. Nowak, Tim P. Bott, David Khachaturov +3
Federated learning enables the training of machine learning models on distributed data without compromising user privacy, as data remains on personal devices and only model updates…
cs.CV2020
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34
The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…