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Found 12 papers, 3 papers with code
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants
We first give a rigorous differential privacy analysis of the algorithm, and establish the quantitative relationship between the added noises and the privacy-preserving level when the system is asymptotically stable.
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs
This paper proposes a new differentially private gradient-tracking-based distributed stochastic optimization algorithm over directed graphs.
Privacy-Preserving Optimal State Estimation with Low Complexity via Cramér-Rao Lower Bound Approach
The problem is formulated as a constrained optimization, which minimizes the MSE of the state estimate with a constraint on privacy level, achieving a trade-off between privacy and utility.
Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communication
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.
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.
How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help.
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
In June 2019, a geoparsing competition, Toponym Resolution in Scientific Papers, was held as one of the SemEval 2019 tasks.
Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers
EUPEG is an open source and Web based benchmarking platform which hosts a majority of open corpora, geoparsers, and performance metrics reported in the literature.
2D-Dirac surface states and bulk gap probed via quantum capacitance in a 3D topological insulator
BiSbTeSe$_2$ is a 3D topological insulator (3D-TI) with Dirac type surface states and low bulk carrier density, as donors and acceptors compensate each other.
Mesoscale and Nanoscale Physics
Limits on Axion Couplings from the first 80-day data of PandaX-II Experiment
We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.
High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology
