Abstract: Existing online Knowledge Distillation (KD) often perform probability-based predictions from independent data samples for knowledge transfer. However, these online KD methods neglect ...
Abstract: In federated learning (FL), multiple parties collaborate to train a global model by aggregating their local models while keeping private training sets isolated. One problem hindering ...
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