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Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
The intra-client and inter-client consistency learning are introduced to smooth predictions at the data level and avoid confirmation bias of local models.
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
Recent work has showcased the powerful capability of large language models (LLMs) in recalling knowledge and reasoning.
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