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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

secure federated averaging algorithm

biblio

Visible to the public Secure Federated Averaging Algorithm with Differential Privacy

Submitted by aekwall on Mon, 01/11/2021 - 1:42pm
  • convergence analysis
  • gradient methods
  • distributed machine learning
  • Gaussian noise
  • federated learning
  • message exchange
  • stochastic gradient descent
  • algorithm communication efficiency
  • client sensitive information
  • Stochastic processes
  • differential attacks
  • federating averaging algorithm
  • local model parameters
  • message obfuscation
  • Model averaging
  • secure FedAvg algorithm
  • secure federated averaging algorithm
  • composability
  • Scalability
  • Servers
  • data privacy
  • Data models
  • learning (artificial intelligence)
  • Resiliency
  • Human behavior
  • pubcrawl
  • security of data
  • privacy
  • convergence
  • convergence rate
  • Prediction algorithms
  • Analytical models
  • client-server systems
  • differential privacy

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