AINeutralarXiv – CS AI · 7h ago6/10
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From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning
A comprehensive survey analyzes federated learning through a data-centric lens, examining how non-IID data heterogeneity, experimental splitting protocols, and adversarial vulnerabilities affect model convergence and stability. The research ranks data properties by their convergence impact and provides actionable guidance for practitioners designing FL systems with predictable performance.