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SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuning
To address this challenge, we propose a Simulated Annealing-based Federated Learning with LoRA tuning (SA-FedLoRA) approach by reducing trainable parameters.
Self adaptive global-local feature enhancement for radiology report generation
Automated radiology report generation aims at automatically generating a detailed description of medical images, which can greatly alleviate the workload of radiologists and provide better medical services to remote areas.
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