Imagen de Portada

Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Huqiang, Liao, Xiaofeng, Li, Huaqing, Zhao, You
Formato:	Preprint
Publicado:	2023
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus
por: Cheng, Huqiang, et al.
Publicado: (2023)

Distributed Online Private Learning of Convex Nondecomposable Objectives
por: Cheng, Huqiang, et al.
Publicado: (2022)

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting
por: Zhang, Xi, et al.
Publicado: (2026)

Stochastic Push-Pull for Decentralized Nonconvex Optimization
por: You, Runze, et al.
Publicado: (2025)

Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
por: Hu, Jinhui, et al.
Publicado: (2024)

A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
por: Liao, Yiwei, et al.
Publicado: (2024)

(Corrected Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities
por: Hu, Jinhui, et al.
Publicado: (2023)

On the Linear Speedup of the Push-Pull Method for Decentralized Optimization over Digraphs
por: Liang, Liyuan, et al.
Publicado: (2025)

Stochastic Momentum Tracking Push-Pull for Decentralized Optimization over Directed Graphs
por: Fan, Wenqi, et al.
Publicado: (2026)

Decentralized Optimization with Amplified Privacy via Efficient Communication
por: Huo, Wei, et al.
Publicado: (2025)

Push- and Pull-based Effective Communication in Cyber-Physical Systems
por: Talli, Pietro, et al.
Publicado: (2024)

Privacy-Preserving Resilient Vector Consensus
por: Liu, Bing, et al.
Publicado: (2024)

A Linear Push-Pull Average Consensus Algorithm for Delay-Prone Networks
por: Makridis, Evagoras, et al.
Publicado: (2025)

The Barzilai-Borwein Method for Distributed Optimization over Unbalanced Directed Networks
por: Hu, Jinhui, et al.
Publicado: (2023)

Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates
por: Hu, Jinhui, et al.
Publicado: (2023)

Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method
por: Zhu, Zhao, et al.
Publicado: (2025)

Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization
por: Zhou, Yingjie, et al.
Publicado: (2025)

Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation
por: Wang, Siyuan, et al.
Publicado: (2025)

Collective Grid: Privacy-Preserved Multi-Operator Energy Sharing Optimization via Federated Energy Prediction
por: Masoudi, Meysam, et al.
Publicado: (2026)

Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption and Heterogeneous Stepsizes
por: Zhou, Haoqiang, et al.
Publicado: (2026)

Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
por: Du, Xu, et al.
Publicado: (2026)

Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking
por: Zhang, Kaixiang, et al.
Publicado: (2021)

B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
por: You, Runze, et al.
Publicado: (2024)

Decentralized Optimization via RC-ALADIN with Efficient Quantized Communication
por: Du, Xu, et al.
Publicado: (2025)

Privacy-Preserving Peer-to-Peer Energy Trading via Hybrid Secure Computations
por: Liu, Junhong, et al.
Publicado: (2025)

Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption
por: Wu, Tong, et al.
Publicado: (2021)

Decentralized Feedback Optimization via Sensitivity Decoupling: Stability and Sub-optimality
por: Wang, Wenbin, et al.
Publicado: (2023)

Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
por: Yan, Xinhao, et al.
Publicado: (2024)

Stiffness-Aware Decentralized Dynamic State Estimation for Inverter-Dominated Power Systems
por: Zhao, Xingyu, et al.
Publicado: (2026)

A Proximal Descent Method for Minimizing Weakly Convex Optimization
por: Liao, Feng-Yi, et al.
Publicado: (2025)

Preserving Topology Privacy of Network Systems by Feedback: Conditions and Distributed Design
por: Li, Yushan, et al.
Publicado: (2026)

Privacy-Preserving Cramér-Rao Lower Bound
por: Ke, Jieming, et al.
Publicado: (2025)

Privacy Preservation for Statistical Input in Dynamical Systems
por: Liu, Le, et al.
Publicado: (2025)

Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence
por: Zhao, Feiran, et al.
Publicado: (2024)

Distributed Platoon Control Under Quantization: Stability Analysis and Privacy Preservation
por: Zhang, Kaixiang, et al.
Publicado: (2025)

Accelerated Decentralized Constraint-Coupled Optimization: A Dual$^2$ Approach
por: Li, Jingwang, et al.
Publicado: (2025)

NPGA: A Unified Algorithmic Framework for Decentralized Constraint-Coupled Optimization
por: Li, Jingwang, et al.
Publicado: (2022)

Policy Optimization in Robust Control: Weak Convexity and Subgradient Methods
por: Watanabe, Yuto, et al.
Publicado: (2025)

Modeling AoII in Push- and Pull-Based Sampling of Continuous Time Markov Chains
por: Cosandal, Ismail, et al.
Publicado: (2024)

Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings
por: Hou, Zeyin, et al.
Publicado: (2023)