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Autori: Kritharakis Emmanouil

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Naslov Robust Federated Learning Under Adversarial Attacks via Loss-Based Client Clustering (Proceedings Paper)
Autori Kritharakis Emmanouil  Jakovetic Dusan  Makris Antonios  Tserpes Konstantinos 
Info MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2025, PT III, (2026), vol. 2841 br. , str. 508-523
Projekat European Union's Horizon Europe research and innovation actions [101168560]; European Union NextGenerationEU Recovery and Resilience Facility programme [16971, TAEDK-06199]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-137/2025-03/200125, 451-03-136/202503/200125]; Science Fund of the Republic of Serbia [7359]
Ispravka ISI/Web of Science   Članak  
Naslov FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning (Proceedings Paper)
Autori Kritharakis Emmanouil  Makris Antonios  Jakovetic Dusan  Tserpes Konstantinos 
Info 2025 3RD INTERNATIONAL CONFERENCE ON FEDERATED LEARNING TECHNOLOGIES AND APPLICATIONS, FLTA, (2025), vol. br. , str. 348-355
Projekat European Union [101168560]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-137/2025-03/200125, 451-03-136/2025-03/200125]; Science Fund of the Republic of Serbia, project LASCADO [7359]
Ispravka ISI/Web of Science   Članak   Citati: ISI/Web of Science  
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