A differentially private stochastic quantizer with minimal distortion is coupled with SNR-based fusion weights and cluster-size optimization, improving utility in quantized federated learning.
Federated learning: A signal processing perspective,
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Privacy-Preserving Quantized Federated Learning with Diverse Precision
A differentially private stochastic quantizer with minimal distortion is coupled with SNR-based fusion weights and cluster-size optimization, improving utility in quantized federated learning.