Academic Journal

Federated Learning With Noisy and Imbalanced Data: A Contrastive Reliability-Based Framework for Long-Tail-Aware Client Selection

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Federated Learning With Noisy and Imbalanced Data: A Contrastive Reliability-Based Framework for Long-Tail-Aware Client Selection
Συγγραφείς: Islam, F., Mahmood, A., Wang, Y., Perera, M.M., Tahermazandarani, M.
Πηγή: IEEE Open Journal of the Communications Society IEEE Open J. Commun. Soc. Communications Society, IEEE Open Journal of the. 7:11610-11636 2026
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISSN:2644125X
DOI:10.1109/OJCOMS.2026.3733565