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A channel-aware latent semantic communication framework that uses evidence injection, AeroLat, which consistently reproduces the latent-swarm anomaly, while no-whitening controls recover the collapse.
Simultaneous assessment of medical imaging and patient records is often required in clinical diagnosis. However, standard machine learning algorithms cannot analyze these data types together. Meanwhile, compliance with HIPAA and GDPR can constrain centralized aggregation of sensitive patient data. This leaves a crucial...
Federated Learning (FL) is increasingly important in Internet of Things (IoT) for healthcare, as it facilitates decentralized training of machine learning models while ensuring privacy of sensitive data. However, FL faces difficulties with pathological non-Independent and Identically Distributed (non-IID) setting, wher...
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