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Found 7 papers, 0 papers with code
Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communications
This paper proposes a new distributed nonconvex stochastic optimization algorithm that can achieve privacy protection, communication efficiency and convergence simultaneously.
Consensus-Based Distributed Nonlinear Filtering with Kernel Mean Embedding
To show the proposed distributed filter being capable of achieving the centralized estimation accuracy, a centralized filter, serving as an extension of the standard Kalman filter in the state space to the RKHS, is developed first.
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes
In this paper, two-time scale stochastic approximation-type algorithms for differentially private distributed stochastic optimization with time-varying sample sizes are proposed using gradient- and output-perturbation methods.
Asymptotically Efficient Quasi-Newton Type Identification with Quantized Observations Under Bounded Persistent Excitations
This paper is concerned with the optimal identification problem of dynamical systems in which only quantized output observations are available under the assumption of fixed thresholds and bounded persistent excitations.
Differentially Private Bipartite Consensus over Signed Networks with Time-Varying Noises
In order to achieve privacy protection, the variance of the added noise is allowed to be increased, and substantially different from the existing works.
Recursive Identification of Set-Valued Systems under Uniform Persistent Excitations
This paper studies the control-oriented identification problem of set-valued moving average systems with uniform persistent excitations and observation noises.
Nash equilibrium of multi-agent graphical game with a privacy information encrypted learning algorithm
With the secure hierarchical structure, the relationship between the secure consensus problem and global Nash equilibrium is discussed under potential packet loss attacks, and the necessary and sufficient condition for the existence of global Nash equilibrium is provided regarding the soft-constrained graphical game.
