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Found 2 papers, 1 papers with code
Buffer-based Gradient Projection for Continual Federated Learning
For example, in a task-incremental learning scenario using the CIFAR-100 dataset, our method can increase the accuracy by up to 27%.
Advancing Multi-Modal Sensing Through Expandable Modality Alignment
To tackle this challenge, we introduce the Babel framework, encompassing the neural network architecture, data preparation and processing, as well as the training strategies.
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