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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.
OmniMed-FL is presented, a controlled systems study of multimodal federated learning for five-class clinical condition classification (Normal, Pneumonia, COVID-19, Pleural Effusion, Cardiomegaly) and benchmarks eight fusion strategies, three initializations, four missing-text imputation rules, and matched federated bas...
This work proposes SeAFed, a client ranking-based Federated Learning system designed for pathological non-IID environment, and finds that SeAFed achieves comparable accuracy while blackucing the resource consumption.
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