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To conduct a comprehensive systematic evaluation of federated learning (FL) strategies for multi-disease retinal classification using optical coherence tomography angiography (OCTA), implementing a two-part experimental framework to establish foundational feasibility and optimize performance under realistic heterogeneous conditions while ensuring privacy preservation.