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Related Experiment Video

Updated: Dec 26, 2025

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Privacy Masking Stochastic Subgradient-Push Algorithm for Distributed Online Optimization.

Qingguo Lu, Xiaofeng Liao, Tao Xiang

IEEE Transactions on Cybernetics

|March 10, 2020

Summary

This summary is machine-generated.

This study introduces a new algorithm for distributed online optimization on complex networks, ensuring data privacy. The method balances privacy with accurate optimization results, even with communication delays.

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Last Updated: Dec 26, 2025

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Area of Science:

Distributed Systems
Optimization Theory
Network Science

Background:

Distributed online optimization is crucial for multi-unit systems.
Existing methods often neglect data privacy concerns.
Complex network structures pose significant challenges.

Purpose of the Study:

To develop a privacy-preserving distributed online optimization algorithm.
To address optimization on time-varying, unbalanced, directed networks.
To ensure local cost function privacy while minimizing a global cost function.

Main Methods:

Proposed a differentially private-distributed stochastic subgradient-push (DP-DSSP) algorithm.
Incorporated differential privacy to mask local cost functions.
Analyzed algorithm performance under network constraints and communication delays.

Main Results:

DP-DSSP effectively masks differential privacy.
The algorithm achieves sublinear regrets, indicating efficient optimization.
A trade-off between privacy levels and accuracy was identified.
The method handles communication delays in networks.

Conclusions:

DP-DSSP is a practical solution for private distributed online optimization.
The algorithm is effective on complex, dynamic network topologies.
Simulation results validate the algorithm's performance and theoretical findings.