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20202026
most citedDifferentially Private Distributed Computation via Public-Private Communication Networks

4 citations · 5 across the 16 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

eess.SY2026

Distributed Nash Equilibrium Seeking with Logarithmic Bit Rates over Digital Channels

Zihao Ren, Chengyang Jiang, Lei Wang +2

This paper introduces quantization techniques to reduce the communication complexity in the distributed Nash equilibrium (NE) seeking problem, achieving an exponential reduction in…

math.OC2026

Distributed Nonlinear Equality-Constrained Optimization via Feedback Linearization and Singular Perturbation

Zihao Ren, Lei Wang, Hongye Su +1

Distributed optimization becomes particularly challenging when nonconvex objectives are combined with nonlinear equality constraints: feasibility is network coupled, while most exi…

eess.SY2026

Distributed Nesterov Flows for Multi-agent Optimization

Zihao Ren, Lei Wang, Guodong Shi

Various distributed gradient descent algorithms for multi-agent optimization have incorporated the Nesterov accelerated gradient method, where the use of momentum enhances converge…

eess.SY2026

Explicit Model Predictive Control with Quantum Encryption

Yingjie Mi, Zihao Ren, Lei Wang +2

This paper studies quantum-encrypted explicit MPC for constrained discrete-time linear systems in a cloud-based architecture. A finite-horizon quadratic MPC problem is solved offli…

quant-ph2026

Blended Dynamics and Emergence in Open Quantum Networks

Qinghao Wen, Zihao Ren, Lei Wang +2

In this paper, we develop a blended dynamics framework for open quantum networks with diffusive couplings. The network consists of qubits interconnected through Hamiltonian couplin…

eess.SY2026

Differential Privacy on Affine Manifolds: Geometrically Confined Privacy in Linear Dynamical Systems

Zihao Ren, Lei Wang, Deming Yuan +1

In this paper, we present a comprehensive framework for differential privacy over affine manifolds and validate its usefulness in the contexts of differentially private cloud-based…