Concepedia

Balázs Pejó

BP

Statistics

Publications

8

Citations

303

H-Index

8

Active since

2019

Affiliations

Budapest University of Technology and Economics(Current)

Servier (France)

Amgen (Germany)

Bayer (Germany)

Novartis (Switzerland)

Balázs Pejó is an author at Budapest University of Technology and Economics specializing in data science, engineering, and data security.

Top concepts

EngineeringData ScienceData PrivacyData SecurityComputer ScienceFederated LearningDrug DiscoveryMachine LearningHealth InformaticsLearning Analytics

Publications per year

2019–2023

8

Publications

8

SoK: Differential privacies

Damien Desfontaines, Balázs Pejó · SHILAP Revista de lepidopterología · 2020 · 94 citations · Full text

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information

Wouter Heyndrickx, Lewis Mervin, Tobias Morawietz et al. · Journal of Chemical Information and Modeling · 2023 · 94 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Industry-Scale Orchestrated Federated Learning for Drug Discovery

Martijn Oldenhof, Gergely Ács, Balázs Pejó et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 37 citations · Full text

Engineering, Federated Structure, Melloddy Platform +24

Quality Inference in Federated Learning With Secure Aggregation

Balázs Pejó, Gergely Biczók · IEEE Transactions on Big Data · 2023 · 22 citations · Full text

Relative Quality Ordering, Engineering, Machine Learning +22

Balázs Pejó, Gergely Biczók · 2020 · 20 citations

Game Theory, Policy Analysis, Covid-19 +16

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