Abstract: Image segmentation achieves significant improvements with deep neural networks at the premise of a large scale of labeled training data, which is laborious to assure in medical image tasks.
FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning
Abstract: Federated Learning (FL) has become a prominent framework for maintaining privacy in recommender systems by enabling decentralized model training. Despite its benefits, traditional Federated ...
This repo is the official implementation of "DETRs with Collaborative Hybrid Assignments Training" by Zhuofan Zong, Guanglu Song, and Yu Liu. In this paper, we present a novel collaborative hybrid ...
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