activity
20172026
most citedDifferentially Private Federated Learning for Cancer Prediction

16 citations · 32 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.CV2020

Siloed Federated Learning for Multi-Centric Histopathology Datasets

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier +1

While federated learning is a promising approach for training deep learning models over distributed sensitive datasets, it presents new challenges for machine learning, especially…

cs.CV2018

Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach

Pierre Courtiol, Eric W. Tramel, Marc Sanselme +1

Analysis of histopathology slides is a critical step for many diagnoses, and in particular in oncology where it defines the gold standard. In the case of digital histopathological…