Cover Image

Local Differential Privacy via Dynamic Quantization in Distributed Online Stochastic Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhiguo, Kui, Cheng, Ma, Qian, Wu, Dongrui
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compressed Distributed Stochastic Nonconvex Optimization with Differential Privacy
by: Xie, Antai, et al.
Published: (2026)

Distributed Least-Squares Optimization Solvers with Differential Privacy
by: Liu, Weijia, et al.
Published: (2024)

Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming
by: Dvorkin, Vladimir, et al.
Published: (2022)

Distributed Online Stochastic Convex-Concave Optimization: Dynamic Regret Analyses under Single and Multiple Consensus Steps
by: Zhang, Wentao, et al.
Published: (2025)

Differential Privacy via Distributionally Robust Optimization
by: Selvi, Aras, et al.
Published: (2023)

Dual Privacy Guarantees for Distributed Nash Equilibrium Seeking in Aggregative Games
by: Meng, Qingtan, et al.
Published: (2026)

Nesterov Accelerated Distributed Optimization with Efficient Quantized Communication
by: Wu, Ruochen, et al.
Published: (2026)

Stochastic Differential Dynamic Programming for Trajectory Optimization under Partial Observability
by: Fujiwara, Masahiro, et al.
Published: (2026)

Online Distributed Optimization with Clipped Stochastic Gradients: High Probability Bound of Regrets
by: Yang, Yuchen, et al.
Published: (2024)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)

Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
by: Du, Xu, et al.
Published: (2026)

Improved Dynamic Regret of Distributed Online Multiple Frank-Wolfe Convex Optimization
by: Zhang, Wentao, et al.
Published: (2023)

Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
by: Wang, Yongqiang, et al.
Published: (2024)

Communication-Efficient Distributed Learning with Differential Privacy
by: Ren, Xiaoxing, et al.
Published: (2026)

Parameter Optimization in Trajectory Planning via Differentiable Convex Programming
by: Xu, Ziqi, et al.
Published: (2025)

A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning
by: Wang, Yifan, et al.
Published: (2024)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
by: He, Zhiyu, et al.
Published: (2025)

Forward-Backward Quantization of Scenario Processes in Multi-Stage Stochastic Optimization
by: Timonina-Farkas, Anna
Published: (2025)

Fast Online Distributionally Robust Optimization via Data Compression
by: Wang, Irina, et al.
Published: (2025)

Distributed Stochastic Optimization under Heavy-Tailed Noises
by: Sun, Chao, et al.
Published: (2023)

Control-Based Online Distributed Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits
by: Begunov, Grigory, et al.
Published: (2026)

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)

Online Alternating Direction Method of Multipliers for Online Composite Optimization
by: Zhang, Yule, et al.
Published: (2019)

Stochastic Online Feedback Optimization for Networks of Non-Compliant Agents
by: Lauand, Caio Kalil, et al.
Published: (2025)

Distributed Generalized Nash Equilibria Learning for Online Stochastic Aggregative Games
by: Du, Kaixin, et al.
Published: (2025)

Differentiable Distributionally Robust Optimization Layers
by: Ma, Xutao, et al.
Published: (2024)

Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows
by: Hyett, Criston, et al.
Published: (2023)

Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion
by: Liu, Zishun, et al.
Published: (2025)

Convergence of Distributed Adaptive Optimization with Local Updates
by: Cheng, Ziheng, et al.
Published: (2024)

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
by: Shi, Wenlong, et al.
Published: (2025)

Infinite Anticipation Backward Stochastic Differential Equations
by: Cheng, Guanwei, et al.
Published: (2025)

On Linear Convergence of Distributed Stochastic Bilevel Optimization over Undirected Networks via Gradient Aggregation
by: Tak, Ajay, et al.
Published: (2025)

Distributionally Fair Stochastic Optimization using Wasserstein Distance
by: Ye, Qing, et al.
Published: (2024)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Distributed Nonconvex Optimization with Double Privacy Protection and Exact Convergence
by: Ou, Zichong, et al.
Published: (2025)

Differentiability and Regularization of Parametric Convex Value Functions in Stochastic Multistage Optimization
by: Franc, Adrien Le, et al.
Published: (2022)

Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement
by: Rikos, Apostolos I., et al.
Published: (2024)

Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems
by: Xu, Tao, et al.
Published: (2024)