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eNauka >  Results >  Robust Federated Learning Under Adversarial Attacks via Loss-Based Client Clustering
Title: Robust Federated Learning Under Adversarial Attacks via Loss-Based Client Clustering
Authors: Kritharakis, Emmanouil; Jakovetic, Dusan; Makris, Antonios; Tserpes, Konstantinos
Issue Date: 2026
Publication: MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2025, PT III
ISSN: 1865-0929 Search Idenfier
Type: Conference Paper
Collation: vol. 2841 str. 508-523
DOI: 10.1007/978-3-032-19102-1_31
WoS-ID: 001782343600033
Scopus-ID: 2-s2.0-105040139954
URI: https://enauka.gov.rs/handle/123456789/1046517
Project: 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]
Metadata source: (Preuzeto iz Nasi u WoS)
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