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utility bound

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differential privacy (7) gradient descent (2) stochastic gradient descent (2) local model (1) gradient difference (1) kernel methods (1) value clipping (1) decentralized learning (1) gradient complexity (1) privacy-preserving algorithm (1)

Papers

PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Improved Convergence of Differential Private SGD with Gradient Clipping ICLR 2023 Private Rank Aggregation in Central and Local Models AAAI 2022 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 Differentially Private Learning with Kernels ICML 2013