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Nicolas Kourtellis — most-cited papers & profile · Federated Learning
← authors
·
overview
Nicolas Kourtellis
9
papers ·
48
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
2021 · 40 citations
Hierarchical Federated Learning with Privacy
2022 · 4 citations
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
2024 · 3 citations
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
2022 · 1 citations
Data Heterogeneity and Forgotten Labels in Split Federated Learning
2025
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
2025
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
2022
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
2024
Top co-authors
Diego Perino
· 3
David Solans
· 2
David Solans Noguero
· 2
Kleomenis Katevas
· 2
Andrea Vitaletti
· 1
Anna Monreale
· 1
Aris Anagnostopoulos
· 1
Daniel M. Jimenez G
· 1
Daniel-M. Jimenez-Gutierrez
· 1
Dimitra Tsigkari
· 1
Eduard Marin
· 1
Fan Mo
· 1
Topics
Federated Learning
Privacy
Data Heterogeneity
Optimization
Security
Adversarial Attacks
Edge Computing