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Frontiers of Computer Science

FedPD: AI Breakthrough Enables Cross-Device Personalized Learning Researchers at Harbin Institute of Technology (Shenzhen) have developed FedPD, a personalized federated learning method using partial distillation. The technique allows devices with different model architectures to collaborate efficiently while handling heterogeneous data. FedPD selectively transfers relevant knowledge, dramatically improving performance across diverse systems.