MultFAug combines multi-hop relaying and sample compression in federated settings to enhance privacy guarantees, cut transmission delay, and raise local training performance on non-IID data.
Loadaboost: Loss- based adaboost federated machine learning on medical data
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Multi-hop Federated Private Data Augmentation with Sample Compression
MultFAug combines multi-hop relaying and sample compression in federated settings to enhance privacy guarantees, cut transmission delay, and raise local training performance on non-IID data.