Closed-form transmit and training-round designs are derived for differentially private over-the-air federated distillation, claiming a better learning-privacy-communication trade-off than federated learning.
Privacy Amp lification for Federated Learning via User Sampling and Wireless Aggre gation,
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Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
Closed-form transmit and training-round designs are derived for differentially private over-the-air federated distillation, claiming a better learning-privacy-communication trade-off than federated learning.