Single-sample clients add one calibrated noisy perturbation to their data point and share transformed representations, allowing the server to recover unbiased gradients for private distributed regression.
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Modulated learning for private and distributed regression with just a single sample per client device
Single-sample clients add one calibrated noisy perturbation to their data point and share transformed representations, allowing the server to recover unbiased gradients for private distributed regression.