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Gergely Ács

2 accepted papers

2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery

AAAI 2023technical

To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n°831472), which was comprised of 10 pharmaceutical companies, academic research labs, large industrial companies and startups. The MEL…

Cited by 48SourcePDFScholar
2021

Constrained differentially private federated learning for low-bandwidth devices

UAI 2021poster

Federated learning becomes a prominent approach when different entities want to learn collaboratively a common model without sharing their training data. %Compared to traditional machine learning, it does not require to collect and centralize all data before training a common model. However, Federat…

Cited by 8SourcePDFScholar