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Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China
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Noise-robust visual prompts can improve model performance by over 11% without increasing inference costs.
Overcome resource constraints in federated learning by enabling clients to train spiking neural networks of varying sizes and aggregate their knowledge effectively.
