3 papers
cs.LG2025
Modular Federated Learning: A Meta-Framework Perspective
Frederico Vicente, Cláudia Soares, Dušan Jakovetić
Federated Learning (FL) enables distributed machine learning training while preserving privacy, representing a paradigm shift for data-sensitive and decentralized environments. Des…
cs.LG2024
A Unified Framework for Center-based Clustering of Distributed Data
Aleksandar Armacki, Dragana Bajović, Dušan Jakovetić +1
We develop a family of distributed center-based clustering algorithms that work over networks of users. In the proposed scenario, users contain a local dataset and communicate only…
cs.LG2021
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method
Miloš Savić, Jasna Atanasijević, Dušan Jakovetić +1
Big data methods are becoming an important tool for tax fraud detection around the world. Unsupervised learning approach is the dominant framework due to the lack of label and grou…