Fairness-Optimized Dynamic Aggregation (FODA): A novel approach to equitable federated learning in heterogeneous environments

Expert Systems with Applications 2026

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Authors: Ziyan Liu, Thomas A. Mazzuchi, Shahram Sarkani
DOI: 10.1016/j.eswa.2026.131807
Cited by: 1
References: 23

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Mobile Crowdsensing and Crowdsourcing Ethics and Social Impacts of AI

Publication details

Journal / source
Expert Systems with Applications
Publisher
Elsevier BV
Volume
317
Pages
131807–131807
Publication date
27 February 2026
Language
EN