On the public citation graph

Differentially Private Distributed Optimization

https://doi.org/10.1145/2684464.2684480
0 signed · 265 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11761679_29openalex-snapshot
Our Data, Ourselves: Privacy Via Distributed Noise Generation
inferredcites →https://doi.org/10.1007/11787006_1openalex-snapshot
Differential Privacy
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/s10957-010-9737-7openalex-snapshot
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
inferredcites →https://doi.org/10.1109/cdc.2012.6426665openalex-snapshot
Decentralized optimal dispatch of distributed energy resources
inferredcites →https://doi.org/10.1109/jproc.2006.887293openalex-snapshot
Consensus and Cooperation in Networked Multi-Agent Systems
inferredcites →https://doi.org/10.1109/tac.1986.1104412openalex-snapshot
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
inferredcites →https://doi.org/10.1109/tac.2008.2009515openalex-snapshot
Distributed Subgradient Methods for Multi-Agent Optimization
inferredcites →https://doi.org/10.1109/tac.2012.2219953openalex-snapshot
Distributed Matrix Scaling and Application to Average Consensus in Directed Graphs
inferredcites →https://doi.org/10.1145/1806689.1806787openalex-snapshot
Differential privacy under continual observation
inferredcites →https://doi.org/10.1145/2381966.2381978openalex-snapshot
Differentially private iterative synchronous consensus

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4659283openalex-extracted
inferred← citeshttps://doi.org/10.1002/9781119890881.ch16openalex-snapshot
Programmable Crypto‐Control for Networked Microgrids
inferred← citeshttps://doi.org/10.1002/rnc.6266openalex-snapshot
A gradient‐free distributed optimization method for convex sum of nonconvex cost functions
inferred← citeshttps://doi.org/10.1002/rnc.7776openalex-snapshot
Event‐Triggered Based Differential Privacy Distributed Optimization
inferred← citeshttps://doi.org/10.1002/sta4.189openalex-snapshot
Preserving privacy between features in distributed estimation
inferred← citeshttps://doi.org/10.1007/978-3-319-48021-3_7openalex-snapshot
Privacy Preserving Consensus-Based Economic Dispatch in Smart Grid Systems
inferred← citeshttps://doi.org/10.1007/978-981-15-0493-8_8openalex-snapshot
On the Role of Cooperation in Private Multi-agent Systems
inferred← citeshttps://doi.org/10.1007/978-981-19-3998-3_72openalex-snapshot
Differentially Private Distributed Online Linear Regression over a Time-Varying Network
inferred← citeshttps://doi.org/10.1007/978-981-19-3998-3_81openalex-snapshot
Privacy-Preserving Nash Equilibrium Seeking Algorithm over Directed Graph
inferred← citeshttps://doi.org/10.1007/978-981-95-4109-6_22openalex-snapshot
Differential Privacy-Preserving Multi-Agent Swarm Optimization with Internal and External Learning for Consensus-Based Distributed Optimization
inferred← citeshttps://doi.org/10.1007/978-981-95-8329-4_28openalex-snapshot
Memory-Accelerated Differentially Private Distributed Optimization: Convergence and Privacy Guarantees
inferred← citeshttps://doi.org/10.1007/978-981-97-3324-8_23openalex-snapshot
Privacy Preserving Distributed Optimization via Paillier Encryption and Randomness Injection
inferred← citeshttps://doi.org/10.1007/s10458-024-09636-xopenalex-snapshot
Differentially private multi-agent constraint optimization
inferred← citeshttps://doi.org/10.1007/s10479-026-07199-6openalex-snapshot
Linear optimization with local differential privacy for resource sharing
inferred← citeshttps://doi.org/10.1007/s10846-018-0893-6openalex-snapshot
Coalition Formation for Multi-agent Pursuit Based on Neural Network
inferred← citeshttps://doi.org/10.1007/s10957-023-02173-9openalex-snapshot
Privacy-Preserving Dual Stochastic Push-Sum Algorithm for Distributed Constrained Optimization
inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00052-0openalex-snapshot
Communication-Efficient and Privacy-Preserving Algorithms for Distributed Optimization
inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00072-6openalex-snapshot
Resilient Distributed Optimization
inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00089-1openalex-snapshot
Privacy in Multi-Agent Systems
inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00125-2openalex-snapshot
Privacy-Preserving Distributed Optimization and Learning
inferred← citeshttps://doi.org/10.1016/j.arcontrol.2023.100913openalex-snapshot
A brief survey on encrypted control: From the first to the second generation and beyond
inferred← citeshttps://doi.org/10.1016/j.automatica.2017.03.016openalex-snapshot
Differentially private average consensus: Obstructions, trade-offs, and optimal algorithm design
inferred← citeshttps://doi.org/10.1016/j.automatica.2019.04.029openalex-snapshot
Resilient consensus for multi-agent systems subject to differential privacy requirements
inferred← citeshttps://doi.org/10.1016/j.automatica.2021.109518openalex-snapshot
Modular control under privacy protection: Fundamental trade-offs
inferred← citeshttps://doi.org/10.1016/j.automatica.2023.110858openalex-snapshot
Decentralized nonconvex optimization with guaranteed privacy and accuracy
inferred← citeshttps://doi.org/10.1016/j.automatica.2023.110878openalex-snapshot
Dynamics based privacy preservation in decentralized optimization
inferred← citeshttps://doi.org/10.1016/j.automatica.2023.111150openalex-snapshot
Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy
inferred← citeshttps://doi.org/10.1016/j.automatica.2024.111514openalex-snapshot
Distributed empirical risk minimization with differential privacy
inferred← citeshttps://doi.org/10.1016/j.automatica.2025.112338openalex-snapshot
Differentially private and communication-efficient distributed nonconvex optimization algorithms
inferred← citeshttps://doi.org/10.1016/j.automatica.2025.112521openalex-snapshot
Differentially private dual gradient tracking for distributed resource allocation
inferred← citeshttps://doi.org/10.1016/j.automatica.2025.112539openalex-snapshot
Distributed graph augmentation protocols to achieve strong connectivity in multi-agent networks
inferred← citeshttps://doi.org/10.1016/j.automatica.2026.112851openalex-snapshot
Differentially private projected gradient tracking for distributed constrained optimization
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106961openalex-snapshot
Federated learning-based disease prediction: A fusion approach with feature selection and extraction
inferred← citeshttps://doi.org/10.1016/j.eng.2023.10.006openalex-snapshot
Secure Federated Evolutionary Optimization—A Survey
inferred← citeshttps://doi.org/10.1016/j.ifacol.2015.10.331openalex-snapshot
Differentially Private Average Consensus with Optimal Noise Selection
inferred← citeshttps://doi.org/10.1016/j.ifacol.2017.08.1590openalex-snapshot
On the Privacy of Optimization
inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2018.01.007openalex-snapshot
Federated learning of predictive models from federated Electronic Health Records
inferred← citeshttps://doi.org/10.1016/j.ins.2019.05.011openalex-snapshot
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs
inferred← citeshttps://doi.org/10.1016/j.ins.2020.05.119openalex-snapshot
Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm
inferred← citeshttps://doi.org/10.1016/j.isatra.2024.06.033openalex-snapshot
Zeroth-order gradient tracking for decentralized learning with privacy guarantees
inferred← citeshttps://doi.org/10.1016/j.jfranklin.2019.12.027openalex-snapshot
Distributed differentially private average consensus for multi-agent networks by additive functional Laplace noise
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127986openalex-snapshot
Differentially Private Consensus and Distributed Optimization in Multi-Agent Systems: A Review
inferred← citeshttps://doi.org/10.1016/j.omega.2019.102177openalex-snapshot
Design and game-Theoretic analysis of community-Based market mechanisms in heat and electricity systems
inferred← citeshttps://doi.org/10.1016/j.sigpro.2022.108456openalex-snapshot
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization
inferred← citeshttps://doi.org/10.1016/j.sysconle.2025.106078openalex-snapshot
Privacy-preserving distributed online mirror descent for nonconvex optimization
inferred← citeshttps://doi.org/10.1080/00207179.2017.1326632openalex-snapshot
On privacy vs. cooperation in multi-agent systems
inferred← citeshttps://doi.org/10.1080/00207721.2022.2070794openalex-snapshot
Differentially private containment control for multi-agent systems
inferred← citeshttps://doi.org/10.1080/10556788.2023.2280056openalex-snapshot
PersA-FL : personalized asynchronous federated learning
inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528602openalex-snapshot
Encrypted Differential Privacy Protection Based Distributed Energy Management of Microgrid
inferred← citeshttps://doi.org/10.1109/acc.2015.7170902openalex-snapshot
Differentially private cloud-based multi-agent optimization with constraints
inferred← citeshttps://doi.org/10.1109/acc.2015.7171103openalex-snapshot
Protecting privacy of topology in consensus networks
inferred← citeshttps://doi.org/10.1109/acc.2016.7525222openalex-snapshot
Differentially private distributed convex optimization via objective perturbation
inferred← citeshttps://doi.org/10.1109/access.2018.2802456openalex-snapshot
Mitigating Cyber Privacy Leakage for Distributed DC Optimal Power Flow in Smart Grid With Radial Topology
inferred← citeshttps://doi.org/10.1109/access.2023.3283503openalex-snapshot
A Communication-Efficient Local Differentially Private Algorithm in Federated Optimization
inferred← citeshttps://doi.org/10.1109/allerton.2014.7028462openalex-snapshot
Differentially private distributed protocol for electric vehicle charging
inferred← citeshttps://doi.org/10.1109/allerton.2017.8262869openalex-snapshot
Privacy preserving cloud-based quadratic optimization
inferred← citeshttps://doi.org/10.1109/allerton.2018.8635916openalex-snapshot
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
inferred← citeshttps://doi.org/10.1109/allerton58177.2023.10313432openalex-snapshot
Near-optimal Differentially Private Client Selection in Federated Settings
inferred← citeshttps://doi.org/10.1109/cac48633.2019.8996648openalex-snapshot
Average Consensus for Switching Topology Networks with Privacy Protection
inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10034229openalex-snapshot
Distributed Load Shedding via Differentially Private Average Consensus Algorithm
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10587768openalex-snapshot
Robust Constrained Consensus with Guaranteed Differential Privacy and Accurate Convergence
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10588151openalex-snapshot
Privacy Preserving-Based Approach for Economic Power Dispatch in a Smart Grid
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11090768openalex-snapshot
Differentially Private Distributed Online Optimization via Signs of Relative States
inferred← citeshttps://doi.org/10.1109/ccdc69976.2026.11560824openalex-snapshot
Distributed Online Optimization with Differential Privacy and Quantized Communication
inferred← citeshttps://doi.org/10.1109/ccta60707.2024.10666610openalex-snapshot
Differentially Private Reward Functions for Markov Decision Processes
inferred← citeshttps://doi.org/10.1109/cdc.2014.7039715openalex-snapshot
Computation of privacy-preserving prices in smart grids
inferred← citeshttps://doi.org/10.1109/cdc.2014.7039718openalex-snapshot
Differentially private convex optimization with piecewise affine objectives
inferred← citeshttps://doi.org/10.1109/cdc.2015.7402640openalex-snapshot
Differential privacy of populations in routing games
inferred← citeshttps://doi.org/10.1109/cdc.2016.7798524openalex-snapshot
Multi-owner multi-user privacy
inferred← citeshttps://doi.org/10.1109/cdc.2016.7798824openalex-snapshot
Differentially private objective functions in distributed cloud-based optimization
inferred← citeshttps://doi.org/10.1109/cdc.2016.7798915openalex-snapshot
Differential privacy in control and network systems
inferred← citeshttps://doi.org/10.1109/cdc.2016.7799042openalex-snapshot
Privacy-aware quadratic optimization using partially homomorphic encryption
inferred← citeshttps://doi.org/10.1109/cdc.2018.8618979openalex-snapshot
Distributed Mechanism Design for Multicast Transmission
inferred← citeshttps://doi.org/10.1109/cdc.2018.8619017openalex-snapshot
A Differentially Private Distributed Solution Approach to the Model Predictive Control of Building Clusters
inferred← citeshttps://doi.org/10.1109/cdc.2018.8619119openalex-snapshot
Consensus-based Distributed Optimization in Multi-agent Systems: Convergence and Differential Privacy
inferred← citeshttps://doi.org/10.1109/cdc.2018.8619437openalex-snapshot
Differentially Private Gossip Gradient Descent
inferred← citeshttps://doi.org/10.1109/cdc40024.2019.9028969openalex-snapshot
Privacy Preservation in Distributed Optimization via Dual Decomposition and ADMM
inferred← citeshttps://doi.org/10.1109/cdc49753.2023.10383285openalex-snapshot
Differentially-Private Distributed Optimization with Guaranteed Optimality
inferred← citeshttps://doi.org/10.1109/cdc49753.2023.10383541openalex-snapshot
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence
inferred← citeshttps://doi.org/10.1109/cdc51059.2022.9992452openalex-snapshot
Distributed submodular maximization: trading performance for privacy
inferred← citeshttps://doi.org/10.1109/cdc57313.2025.11312494openalex-snapshot
Distributed Finite-Horizon Optimal Control for Consensus with Differential Privacy Guarantees
inferred← citeshttps://doi.org/10.1109/ciss59072.2024.10480170openalex-snapshot
Distributed Optimization with Feasible Set Privacy
inferred← citeshttps://doi.org/10.1109/cns.2018.8433217openalex-snapshot
Privacy-Preserving Average Consensus on Directed Graphs Using Push-Sum
inferred← citeshttps://doi.org/10.1109/ddcls52934.2021.9455652openalex-snapshot
Containment Control for Multi-agent Systems with Differentially Private Protocols
inferred← citeshttps://doi.org/10.1109/ddcls55054.2022.9858504openalex-snapshot
Secure and Privacy-Preserving Consensus for Multi-Agent Networks under Deception Attacks
inferred← citeshttps://doi.org/10.1109/fasta61401.2024.10595290openalex-snapshot
ADMM-based Privacy-Preserving Peer-to-Peer Energy Trading Negotiation Mechanism
inferred← citeshttps://doi.org/10.1109/icassp.2016.7472089openalex-snapshot
Data-weighted ensemble learning for privacy-preserving distributed learning
inferred← citeshttps://doi.org/10.1109/icassp.2017.7953387openalex-snapshot
Crowd-ML: A library for privacy-preserving machine learning on smart devices
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413811openalex-snapshot
Graph-Homomorphic Perturbations for Private Decentralized Learning
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447844openalex-snapshot
Privacy-Preserving Distributed Optimisation using Stochastic PDMM
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888860openalex-snapshot
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11465112openalex-snapshot
Privacy-Preservation Over Directed Graphs: A Case Study of Average Consensus
inferred← citeshttps://doi.org/10.1109/icca51439.2020.9264381openalex-snapshot
Differential Privacy for Distributed Consensus with Partial Observations
inferred← citeshttps://doi.org/10.1109/iccss48103.2019.9115459openalex-snapshot
Differential Privacy Optimal Consensus for Multiagent System by Using Functional Perturbation
inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10312089openalex-snapshot
A Distributed Privacy-Preserving Algorithm using Row Stochastic Weight Matrix with Locally Balanced Noise
inferred← citeshttps://doi.org/10.1109/iecon55916.2024.10905938openalex-snapshot
Distributed Nesterov Gradient for Differentially Private Optimization with Exact Convergence
inferred← citeshttps://doi.org/10.1109/isgt-europe47291.2020.9248851openalex-snapshot
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow
inferred← citeshttps://doi.org/10.1109/isit44484.2020.9174276openalex-snapshot
Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization
inferred← citeshttps://doi.org/10.1109/jas.2022.106028openalex-snapshot
A Privacy-Preserving Distributed Subgradient Algorithm for the Economic Dispatch Problem in Smart Grid
inferred← citeshttps://doi.org/10.1109/jiot.2020.3020089openalex-snapshot
DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data
inferred← citeshttps://doi.org/10.1109/jiot.2022.3194838openalex-snapshot
Programmable Crypto-Control for IoT Networks: An Application in Networked Microgrids
inferred← citeshttps://doi.org/10.1109/lcsys.2020.3005766openalex-snapshot
Preserving Statistical Privacy in Distributed Optimization
inferred← citeshttps://doi.org/10.1109/lcsys.2022.3231223openalex-snapshot
Guaranteed Privacy of Distributed Nonconvex Optimization via Mixed-Monotone Functional Perturbations
inferred← citeshttps://doi.org/10.1109/lcsys.2022.3232210openalex-snapshot
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation
inferred← citeshttps://doi.org/10.1109/lcsys.2023.3292463openalex-snapshot
A Privacy-Preserving Finite-Time Push-Sum-Based Gradient Method for Distributed Optimization Over Digraphs
inferred← citeshttps://doi.org/10.1109/lcsys.2024.3513232openalex-snapshot
Guaranteed Feasibility in Differentially Private Linearly Constrained Convex Optimization
inferred← citeshttps://doi.org/10.1109/mci.2020.2976185openalex-snapshot
A Survey on Differentially Private Machine Learning [Review Article]
inferred← citeshttps://doi.org/10.1109/med70602.2026.11598021openalex-snapshot
Deterministic Privacy in Robust Federated Learning Through Gradient Scaling
inferred← citeshttps://doi.org/10.1109/qce60285.2024.00160openalex-snapshot
Privacy-Preserving Quantum Annealing for Quadratic Unconstrained Binary Optimization (QUBO) Problems
inferred← citeshttps://doi.org/10.1109/sp40000.2020.00025openalex-snapshot
The Value of Collaboration in Convex Machine Learning with Differential Privacy
inferred← citeshttps://doi.org/10.1109/tac.2016.2541298openalex-snapshot
Differentially Private Distributed Constrained Optimization
inferred← citeshttps://doi.org/10.1109/tac.2019.2890887openalex-snapshot
Secure and Privacy-Preserving Consensus
inferred← citeshttps://doi.org/10.1109/tac.2019.2902731openalex-snapshot
Privacy-Preserving Average Consensus via State Decomposition
inferred← citeshttps://doi.org/10.1109/tac.2019.2955999openalex-snapshot
Distributed Mechanism Design With Learning Guarantees for Private and Public Goods Problems
inferred← citeshttps://doi.org/10.1109/tac.2020.2994030openalex-snapshot
Design of Privacy-Preserving Dynamic Controllers
inferred← citeshttps://doi.org/10.1109/tac.2020.3005920openalex-snapshot
Cloud-Based Quadratic Optimization With Partially Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/tac.2020.3022856openalex-snapshot
Differentially Private ADMM for Regularized Consensus Optimization
inferred← citeshttps://doi.org/10.1109/tac.2021.3059427openalex-snapshot
Differentially Private Distributed Optimization via State and Direction Perturbation in Multiagent Systems
inferred← citeshttps://doi.org/10.1109/tac.2021.3075183openalex-snapshot
Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games
inferred← citeshttps://doi.org/10.1109/tac.2022.3174187openalex-snapshot
Decentralized Stochastic Optimization With Inherent Privacy Protection
inferred← citeshttps://doi.org/10.1109/tac.2022.3198030openalex-snapshot
Quantization Enabled Privacy Protection in Decentralized Stochastic Optimization
inferred← citeshttps://doi.org/10.1109/tac.2023.3272968openalex-snapshot
Tailoring Gradient Methods for Differentially Private Distributed Optimization
inferred← citeshttps://doi.org/10.1109/tac.2023.3348158openalex-snapshot
Decentralized Gradient Methods With Time-Varying Uncoordinated Stepsizes: Convergence Analysis and Privacy Design
inferred← citeshttps://doi.org/10.1109/tac.2024.3351068openalex-snapshot
Differentially Private Distributed Algorithms for Aggregative Games With Guaranteed Convergence
inferred← citeshttps://doi.org/10.1109/tac.2024.3352328openalex-snapshot
Differential Privacy in Distributed Optimization With Gradient Tracking
inferred← citeshttps://doi.org/10.1109/tac.2024.3366037openalex-snapshot
Ensuring Both Almost Sure Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs
inferred← citeshttps://doi.org/10.1109/tac.2024.3385546openalex-snapshot
Robust Constrained Consensus and Inequality-Constrained Distributed Optimization With Guaranteed Differential Privacy and Accurate Convergence
inferred← citeshttps://doi.org/10.1109/tac.2024.3482977openalex-snapshot
Locally Differentially Private Distributed Online Learning With Guaranteed Optimality
inferred← citeshttps://doi.org/10.1109/tac.2024.3488504openalex-snapshot
Locally Differentially Private Gradient Tracking for Distributed Online Learning Over Directed Graphs
inferred← citeshttps://doi.org/10.1109/tac.2024.3519938openalex-snapshot
Local Differential Privacy for Decentralized Online Stochastic Optimization With Guaranteed Optimality and Convergence Speed
inferred← citeshttps://doi.org/10.1109/tac.2025.3546087openalex-snapshot
Cryptography-Based Privacy-Preserving Method for Distributed Optimization Over Time-Varying Directed Graphs With Enhanced Efficiency
inferred← citeshttps://doi.org/10.1109/tac.2025.3606265openalex-snapshot
Ensuring Truthfulness in Distributed Aggregative Optimization
inferred← citeshttps://doi.org/10.1109/tac.2025.3627270openalex-snapshot
Differentially Private Distributed Model Predictive Control of Linear Discrete-Time Systems With Global Constraints
inferred← citeshttps://doi.org/10.1109/tase.2026.3671820openalex-snapshot
ϵ -Differentially Private Distributed Non-Convex Optimization
inferred← citeshttps://doi.org/10.1109/tcns.2016.2614100openalex-snapshot
Differentially Private Distributed Convex Optimization via Functional Perturbation
inferred← citeshttps://doi.org/10.1109/tcns.2017.2658190openalex-snapshot
Differential Privacy in Linear Distributed Control Systems: Entropy Minimizing Mechanisms and Performance Tradeoffs
inferred← citeshttps://doi.org/10.1109/tcns.2017.2751458openalex-snapshot
Cloud-Enabled Differentially Private Multiagent Optimization With Constraints
inferred← citeshttps://doi.org/10.1109/tcns.2018.2795703openalex-snapshot
Differentially Private Consensus With an Event-Triggered Mechanism
inferred← citeshttps://doi.org/10.1109/tcns.2018.2873152openalex-snapshot
Enabling Privacy-Preservation in Decentralized Optimization
inferred← citeshttps://doi.org/10.1109/tcns.2019.2922169openalex-snapshot
Differential Privacy for Network Identification
inferred← citeshttps://doi.org/10.1109/tcns.2020.2976273openalex-snapshot
Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling
inferred← citeshttps://doi.org/10.1109/tcns.2022.3165022openalex-snapshot
A Distributed-Optimization-Based Architecture for Management of Interconnected Energy Hubs
inferred← citeshttps://doi.org/10.1109/tcns.2023.3264932openalex-snapshot
A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition
inferred← citeshttps://doi.org/10.1109/tcns.2023.3290114openalex-snapshot
A Study of Privacy Preservation in Average Consensus Algorithm via Deterministic Obfuscation Signals
inferred← citeshttps://doi.org/10.1109/tcns.2024.3395851openalex-snapshot
Differentially Private Distributed Optimization Over Diagraphs With Application to Image Deblurring
inferred← citeshttps://doi.org/10.1109/tcns.2024.3398729openalex-snapshot
Differentially Private Nash Equilibrium Seeking in Quadratic Network Games
inferred← citeshttps://doi.org/10.1109/tcns.2025.3597220openalex-snapshot
Private Distributed Resource Allocation Without Constraint Violations
inferred← citeshttps://doi.org/10.1109/tcns.2026.3691648openalex-snapshot
Decentralized Nonconvex Optimization With Linear Convergence and Quantization Enabled Privacy Preservation
inferred← citeshttps://doi.org/10.1109/tcns.2026.3691792openalex-snapshot
Distributed Double Accelerated Algorithm for Differentially Private Optimization
inferred← citeshttps://doi.org/10.1109/tcsi.2022.3226578openalex-snapshot
Privacy-Preserved Distributed Optimization for Multi-Agent Systems With Antagonistic Interactions
inferred← citeshttps://doi.org/10.1109/tcsi.2023.3266358openalex-snapshot
Differentially Private Distributed Optimization With an Event-Triggered Mechanism
inferred← citeshttps://doi.org/10.1109/tcsii.2022.3144389openalex-snapshot
Anonymous Privacy-Preserving Consensus via Mixed Encryption Communication
inferred← citeshttps://doi.org/10.1109/tcyb.2017.2728644openalex-snapshot
Privacy Preservation in Distributed Subgradient Optimization Algorithms
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2890645openalex-snapshot
Differentially Private Consensus With Quantized Communication
inferred← citeshttps://doi.org/10.1109/tcyb.2024.3424221openalex-snapshot
Distributed Privacy-Preserving Optimization With Accumulated Noise in ADMM
inferred← citeshttps://doi.org/10.1109/tcyb.2025.3579593openalex-snapshot
Distributed Adaptive Accelerated Nash Equilibrium Seeking for Noncooperative Games: A Differentially Private Method
inferred← citeshttps://doi.org/10.1109/tetci.2026.3692603openalex-snapshot
Distributed Online Learning for Constrained Nonseparable Problems With Privacy Preservation
inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3542497openalex-snapshot
Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games With Linear Convergence
inferred← citeshttps://doi.org/10.1109/tifs.2018.2855169openalex-snapshot
ADMM Based Privacy-Preserving Decentralized Optimization
inferred← citeshttps://doi.org/10.1109/tifs.2019.2931068openalex-snapshot
DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy
inferred← citeshttps://doi.org/10.1109/tifs.2019.2947867openalex-snapshot
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
inferred← citeshttps://doi.org/10.1109/tifs.2021.3050064openalex-snapshot
Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms
inferred← citeshttps://doi.org/10.1109/tifs.2021.3139267openalex-snapshot
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization
inferred← citeshttps://doi.org/10.1109/tifs.2025.3643791openalex-snapshot
Distributed Online Optimization With Differential Privacy Over Time-Varying Unbalanced Digraphs
inferred← citeshttps://doi.org/10.1109/tii.2019.2933596openalex-snapshot
Resilient Consensus of Discrete-Time Complex Cyber-Physical Networks Under Deception Attacks
inferred← citeshttps://doi.org/10.1109/tii.2020.2996198openalex-snapshot
A Privacy Preserving Distributed Optimization Algorithm for Economic Dispatch Over Time-Varying Directed Networks
inferred← citeshttps://doi.org/10.1109/tii.2026.3652997openalex-snapshot
Privacy-Preserving Fully Distributed Market Clearing for Peer-to-Peer Energy Trading
inferred← citeshttps://doi.org/10.1109/tit.2018.2842221openalex-snapshot
Preserving Data-Privacy With Added Noises: Optimal Estimation and Privacy Analysis
inferred← citeshttps://doi.org/10.1109/tit.2023.3247559openalex-snapshot
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration, and Lower Bounds
inferred← citeshttps://doi.org/10.1109/tits.2025.3639277openalex-snapshot
Privacy-Preserving Platoon Control—Constrained Cooperative-Tracking Control via Time-Varying Heterogeneous Directed Networks
inferred← citeshttps://doi.org/10.1109/tkde.2018.2794384openalex-snapshot
Differentially Private Distributed Online Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3492144openalex-snapshot
Distributed Online Convex Optimization With Statistical Privacy
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3674758openalex-snapshot
Differentially Private Accelerated Distributed Algorithm for Aggregative Optimization
inferred← citeshttps://doi.org/10.1109/tnse.2019.2923959openalex-snapshot
Distributed Mechanism Design for Network Resource Allocation Problems
inferred← citeshttps://doi.org/10.1109/tnse.2022.3140274openalex-snapshot
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs
inferred← citeshttps://doi.org/10.1109/tnse.2025.3582347openalex-snapshot
PPDOG: Privacy-Preserving Distributed Optimization With Performance Guarantees in Networked Systems
inferred← citeshttps://doi.org/10.1109/tpds.2017.2761344openalex-snapshot
Distributed Privacy-Aware Fast Selection Algorithm for Large-Scale Data
inferred← citeshttps://doi.org/10.1109/tsg.2023.3324138openalex-snapshot
Privacy-Preserving Distributed Economic Dispatch for Microgrids Based on State Decomposition With Added Noises
inferred← citeshttps://doi.org/10.1109/tsg.2025.3628290openalex-snapshot
A Differentially Private Energy Trading Mechanism Approaching Social Optimum
inferred← citeshttps://doi.org/10.1109/tsipn.2018.2797806openalex-snapshot
Differentially Private Distributed Online Algorithms Over Time-Varying Directed Networks
inferred← citeshttps://doi.org/10.1109/tsipn.2021.3062985openalex-snapshot
Differentially Private Distributed Resource Allocation via Deviation Tracking
inferred← citeshttps://doi.org/10.1109/tsipn.2023.3322783openalex-snapshot
Communication-Efficient and Privacy-Aware Distributed Learning
inferred← citeshttps://doi.org/10.1109/tsipn.2024.3402430openalex-snapshot
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition
inferred← citeshttps://doi.org/10.1109/tsipn.2026.3691978openalex-snapshot
A Fast Differentially Private Distributed Algorithm Over Unbalanced Directed Networks
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3357253openalex-snapshot
Distributed Gradient Tracking for Differentially Private Multi-Agent Optimization With a Dynamic Event-Triggered Mechanism
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3496488openalex-snapshot
Differentially Private Dynamic Average Consensus-Based Newton Method for Distributed Optimization Over General Networks
inferred← citeshttps://doi.org/10.1109/tsp.2018.2872817openalex-snapshot
Privacy-Preserving Consensus-Based Energy Management in Smart Grids
inferred← citeshttps://doi.org/10.1109/tsp.2020.3006760openalex-snapshot
Differential Private Noise Adding Mechanism and Its Application on Consensus Algorithm
inferred← citeshttps://doi.org/10.1109/tsp.2020.3027917openalex-snapshot
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization
inferred← citeshttps://doi.org/10.1109/tsp.2020.3029887openalex-snapshot
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
inferred← citeshttps://doi.org/10.1109/tsp.2022.3182590openalex-snapshot
Privacy-Preserving Distributed Kalman Filtering
inferred← citeshttps://doi.org/10.1109/tsp.2023.3317644openalex-snapshot
Differential Private Discrete Noise-Adding Mechanism: Conditions, Properties, and Optimization
inferred← citeshttps://doi.org/10.1109/tsp.2025.3544517openalex-snapshot
Differentially Private Distributed Optimization Over Time-Varying Unbalanced Networks With Linear Convergence Rates
inferred← citeshttps://doi.org/10.1109/tvt.2021.3064877openalex-snapshot
Decentralized Parallel SGD With Privacy Preservation in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/twc.2021.3053770openalex-snapshot
Privacy-Preserving Channel Estimation in Cell-Free Hybrid Massive MIMO Systems
inferred← citeshttps://doi.org/10.1109/yac66630.2025.11149835openalex-snapshot
Differentially Private Distributed Optimization with Coupled Inequality Constraints
inferred← citeshttps://doi.org/10.1145/2854157openalex-snapshot
Robust Decentralized Low-Rank Matrix Decomposition
inferred← citeshttps://doi.org/10.1145/3140241.3140243openalex-snapshot
Secure and Privacy-Preserving Average Consensus
inferred← citeshttps://doi.org/10.1145/3486622.3493929openalex-snapshot
Differentially Private Multi-Agent Constraint Optimization
inferred← citeshttps://doi.org/10.1146/annurev-control-060117-105018openalex-snapshot
Privacy in Control and Dynamical Systems
showing the first 200 of 254 · page through all 254
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.