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Abstract With the rapid advancement of artificial intelligence technologies, AI-driven medical image classification has attracted considerable attention in recent years. However, increasingly stringent data privacy regulations have significantly restricted data sharing among medical institutions, making it difficult for traditional centralized learning frameworks to effectively exploit distributed medical data resources.
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