98 citations · 338 across the 25 of their papers we have counts for
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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…
stat.ML2020★ 11 cited
Efficient Sparse Secure Aggregation for Federated Learning
Constance Beguier, Mathieu Andreux, Eric W. Tramel
Federated Learning enables one to jointly train a machine learning model across distributed clients holding sensitive datasets. In real-world settings, this approach is hindered by…