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,Decoupled Knowledge Distillation in Data-Free Federated Learning, to this demand, federated learning (FL) arises. FL permits clients to collaborate on training a network model under the coordination of a central server by merely transmitting model parameters instead of private data with the central server, maintaining the decentralization and dispersion of the trexceed 发表于 2025-3-23 22:59:57
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Conference proceedings 2024l Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations..