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Differentially Private Learning with Adaptive Clipping

NeurIPS 2021 · Federated learning and privacy › Differential privacy · approach: Differentially private federated learning · 86 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
adaptive clipping to the median instead of best fixed clip chosen in hindsightDP-FedAvg · CIFAR-100, EMNIST-AE, Shakespearetest performanceHelped
adaptive clipping to the median instead of best fixed clipDP-FedAvg · EMNIST-CR, SO-NWPtest performanceNo clear effect
adaptive clipping to the median instead of best fixed clipDP-FedAvg · SO-LRrecall@5Hurt
adaptive clipping (no noise) instead of no clippingFedAvg · CIFAR-100, EMNIST-AE, SO-NWPperformanceHelped
adaptive clipping (no noise) instead of no clippingFedAvg · Shakespeare, SO-LRperformanceHurt
use next larger fixed clip 27.3 instead of 16.0 (ablation)DP-FedAvg fixed clip · SO-LR dev setrecall@5: 55.1 -> 51.8Hurt

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