Image de couverture de livre

Decentralized Optimization with Amplified Privacy via Efficient Communication

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huo, Wei, Liu, Changxin, Ding, Kemi, Johansson, Karl Henrik, Shi, Ling
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
par: Huo, Wei, et autres
Publié: (2024)

Decentralized Optimization via RC-ALADIN with Efficient Quantized Communication
par: Du, Xu, et autres
Publié: (2025)

Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games
par: Huo, Wei, et autres
Publié: (2024)

Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence
par: Chen, Xiaomeng, et autres
Publié: (2024)

Differentially Private Dual Gradient Tracking for Distributed Resource Allocation
par: Huo, Wei, et autres
Publié: (2024)

Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
par: Du, Xu, et autres
Publié: (2026)

Optimal Scheduling of Multiple Sensors over Lossy and Bandwidth Limited Channels
par: Wu, Shuang, et autres
Publié: (2018)

Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping
par: Rikos, Apostolos I., et autres
Publié: (2025)

Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement
par: Rikos, Apostolos I., et autres
Publié: (2024)

Nesterov Accelerated Distributed Optimization with Efficient Quantized Communication
par: Wu, Ruochen, et autres
Publié: (2026)

A continuous-time violation-free multi-agent optimization algorithm and its applications to safe distributed control
par: Tan, Xiao, et autres
Publié: (2024)

Concentration in Gossip Opinion Dynamics over Random Graphs
par: Xing, Yu, et autres
Publié: (2023)

An Efficient Distributed Nash Equilibrium Seeking with Compressed and Event-triggered Communication
par: Chen, Xiaomeng, et autres
Publié: (2023)

Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization
par: Duan, Peihu, et autres
Publié: (2023)

Motion Planning for Identification of Linear Classifiers
par: Raghavan, Aneesh, et autres
Publié: (2024)

Data-Driven Resilience Assessment against Sparse Sensor Attacks
par: Shinohara, Takumi, et autres
Publié: (2025)

Achieving violation-free distributed optimization under coupling constraints
par: Liu, Changxin, et autres
Publié: (2024)

Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition
par: Wu, Shuang, et autres
Publié: (2018)

Quantized Distributed Estimation with Event-triggered Communication and Packet Loss
par: Wang, Ying, et autres
Publié: (2025)

Minimum Clustering of Matrices Based on Phase Alignment
par: Wu, Honghao, et autres
Publié: (2025)

Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
par: Du, Xu, et autres
Publié: (2026)

Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
par: Zhang, Kunpeng, et autres
Publié: (2025)

Distributed Coordination Algorithms with Efficient Communication for Open Multi-Agent Systems with Dynamic Communication Links and Processing Delays
par: Hu, Jiaqi, et autres
Publié: (2026)

Communication-Efficient Stochastic Distributed Learning
par: Ren, Xiaoxing, et autres
Publié: (2025)

Real-time Hybrid System Identification with Online Deterministic Annealing
par: Mavridis, Christos, et autres
Publié: (2024)

Jointly Computation- and Communication-Efficient Distributed Learning
par: Ren, Xiaoxing, et autres
Publié: (2025)

Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures
par: Shinohara, Takumi, et autres
Publié: (2025)

Security Index from Input/Output Data: Theory and Computation
par: Shinohara, Takumi, et autres
Publié: (2025)

Detection and Identification of Sensor Attacks Using Partially Attack-Free Data
par: Shinohara, Takumi, et autres
Publié: (2025)

Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition
par: Cheng, Huqiang, et autres
Publié: (2023)

Enhancing Privacy in Federated Learning through Local Training
par: Bastianello, Nicola, et autres
Publié: (2024)

Distributed Constrained Online Nonconvex Optimization with Compressed Communication
par: Zhang, Kunpeng, et autres
Publié: (2025)

Efficient Planning in Large-scale Systems Using Hierarchical Finite State Machines
par: Stefansson, Elis, et autres
Publié: (2025)

A survey on secure decentralized optimization and learning
par: Liu, Changxin, et autres
Publié: (2024)

Two-Way Coding in Control Systems Under Injection Attacks: From Attack Detection to Attack Correction
par: Fang, Song, et autres
Publié: (2019)

Safe platooning control of connected and autonomous vehicles on curved multi-lane roads
par: Chen, Xiao, et autres
Publié: (2025)

Data-Driven Model Order Reduction of Nonlinear Systems with Noisy Data
par: Samari, Behrad, et autres
Publié: (2025)

From Noisy Data to Hierarchical Control: A Model-Order-Reduction Framework
par: Samari, Behrad, et autres
Publié: (2026)

Distributed Charging Coordination of Electric Trucks with Limited Charging Resources
par: Bai, Ting, et autres
Publié: (2023)

Learning Communities from Equilibria of Nonlinear Opinion Dynamics
par: Xing, Yu, et autres
Publié: (2024)