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Overall, FedAvg provided the most consistently reliable server-based baseline, topology-aware gossip offered a viable decentralized alternative, and Hybrid Gossip-FedAvg provided a balanced compromise between peer-to-peer diffusion and periodic global coordination.
State-of-the-art 3D pancreatic tumor segmentation no longer demands massive architectures or pre-training: a tailored 5.86M-parameter model boosts lesion sensitivity by 6.6 points simply by replacing standard pooling with lossless downsampling and linear-deformable attention.
Achieving a mean AUC of 0.8750, this hierarchical MoE model outperforms traditional methods by effectively integrating imaging and EHR data for ILD classification.