def get_privacy_spent()

in flsim/privacy/privacy_engine.py [0:0]

• 27 lines of code
• 4 McCabe index (conditional complexity)

    def get_privacy_spent(self, target_delta: Optional[float] = None):
        if target_delta is None:
            target_delta = self.target_delta

        rdp = privacy_analysis.compute_rdp(
            q=self.user_sampling_rate,
            noise_multiplier=self.noise_multiplier,
            steps=self.steps,
            orders=self.alphas,
        )
        eps, opt_alpha = privacy_analysis.get_privacy_spent(
            orders=self.alphas, rdp=rdp, delta=target_delta
        )

        self.logger.info(
            f"User-level DP Privacy Parameters:"
            f"\tuser sampling rate = {100 * self.user_sampling_rate:.3g}%"
            f"\tnoise_multiplier = {self.noise_multiplier}"
            f"\tsteps = {self.steps}\n  satisfies "
            f"DP with Ɛ = {eps:.3g} "
            f"and δ = {target_delta}."
            f"  The optimal α is {opt_alpha}."
        )
        if opt_alpha == max(self.alphas) or opt_alpha == min(self.alphas):
            self.logger.info(
                "The privacy estimate is likely to be improved by expanding "
                "the set of alpha orders."
            )
        return PrivacyBudget(eps, opt_alpha, target_delta)