A CKKS-based proxy re-encryption scheme with truncated discrete Gaussian noise enables secure multi-participant ARX parameter identification while proving IND-CPA security and mean-square convergence.
State estima- tion with protecting exogenous inputs via Cram ´er-Rao lower bound approach,
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A differentially private gradient-tracking algorithm for distributed stochastic optimization on directed graphs uses subsampling schemes to achieve convergence for nonconvex objectives with finite privacy budget.
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Secure Parameter Identification for Multi-Participant ARX Systems via CKKS Cryptosystem-Based Proxy Re-Encryption
A CKKS-based proxy re-encryption scheme with truncated discrete Gaussian noise enables secure multi-participant ARX parameter identification while proving IND-CPA security and mean-square convergence.
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Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs
A differentially private gradient-tracking algorithm for distributed stochastic optimization on directed graphs uses subsampling schemes to achieve convergence for nonconvex objectives with finite privacy budget.