16 citations · 31 across the 6 of their papers we have counts for
3 papers · 1 filter
Differentially Private Federated Learning for Cancer Prediction
Constance Beguier, Jean Ogier du Terrail, Iqraa Meah +2
Since 2014, the NIH funded iDASH (integrating Data for Analysis, Anonymization, SHaring) National Center for Biomedical Computing has hosted yearly competitions on the topic of pri…
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel +1
Timely assessment of compound toxicity is one of the biggest challenges facing the pharmaceutical industry today. A significant proportion of compounds identified as potential lead…
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
In statistical learning for real-world large-scale data problems, one must often resort to "streaming" algorithms which operate sequentially on small batches of data. In this work,…