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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
distributed machine learning
biblio
Secure Federated Averaging Algorithm with Differential Privacy
Submitted by aekwall on Mon, 01/11/2021 - 12:42pm
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
biblio
Applying Differential Privacy Mechanism in Artificial Intelligence
Submitted by grigby1 on Fri, 08/07/2020 - 2:48pm
privacy
multi-agent system
distributed machine learning
differential privacy mechanism
differential privacy
AI
multiagent systems
Scalability
multi-agent systems
Reinforcement learning
federated learning
learning (artificial intelligence)
data privacy
Resiliency
resilience
Human Factors
Human behavior
pubcrawl
Artificial Intelligence
security
machine learning
biblio
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning
Submitted by aekwall on Mon, 03/30/2020 - 10:33am
end-to-end explainability
basic transformations
consistent data
data analysis pipeline
data pre-processing steps
data preparation
distributed file system
distributed machine learning
distributed setting
machine learning models
entire data set
explainable machine learning
explainable models
homogeneous data
linking provenance
machine learning experts
single data
Distributed databases
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
Computational modeling
Metrics
machine learning
Data models
data analysis
Entropy
Provenance
distributed system
Decision trees
data provenance
distributed computing
