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cs.LG2025
New Money: A Systematic Review of Synthetic Data Generation for Finance
James Meldrum, Basem Suleiman, Fethi Rabhi +1
Synthetic data generation has emerged as a promising approach to address the challenges of using sensitive financial data in machine learning applications. By leveraging generative…
cs.LG2024
Optimisation of federated learning settings under statistical heterogeneity variations
Basem Suleiman, Muhammad Johan Alibasa, Rizka Widyarini Purwanto +3
Federated Learning (FL) enables local devices to collaboratively learn a shared predictive model by only periodically sharing model parameters with a central aggregator. However, F…