One-shot federated clustering proposed for non-IID biomedical data
Institutions send prototypes once; a server fuses clusterlets to recover global structure while limiting computation and privacy exposure.
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Stories tagged #non-iid
Bernstein bounds for regenerative data yield non-i.i.d. generalization guarantees
The bounds support agnostic classifiers from a first-order term and are minimax-optimal in sample size and expected regeneration time.
Importance-Aware Feature Sparsification for Wireless Split Learning
ICS sparsifies wireless split-learning features with server-side Grad-CAM scores, cutting communication cost.
OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis
OmniMed-FL benchmarks multimodal federated learning for chest radiograph diagnosis across 3-20 clients, with FedProx leading under severe non-IID skew.