QFedPolyp: a communication- and inference-efficient federated learning framework for polyp segmentation
Read the original at arxiv.org→arXiv:2607.22743v1 Announce Type: new Abstract: Background and Objective: Automatic polyp segmentation supports computer-aided diagnosis and early colorectal cancer detec- tion. Centralized deep learning requires...
Original headline: "QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation"
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- Jul 28, 04:00 UTC arXiv cs.LG lead source QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation