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Found 2 papers, 1 papers with code
Logits Poisoning Attack in Federated Distillation
Federated Distillation (FD) is a novel and promising distributed machine learning paradigm, where knowledge distillation is leveraged to facilitate a more efficient and flexible cross-device knowledge transfer in federated learning.
Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates
ALU drastically decreases the frequency of communication in federated distillation, thereby significantly reducing the communication overhead during the training process.
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