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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
federated learning
biblio
FairFed: Cross-Device Fair Federated Learning
Submitted by aekwall on Thu, 06/24/2021 - 11:51am
Training
AI Poisoning
Model Development
data quality
federated learning
fairness
deep learning
differential privacy
machine learning
Scalability
Neural networks
Sociology
outlier detection
pubcrawl
Human behavior
Resiliency
Protocols
performance evaluation
biblio
Blockchain Technology and Neural Networks for the Internet of Medical Things
Submitted by aekwall on Thu, 06/24/2021 - 11:50am
Computational modeling
AI Poisoning
patient data
federated learning
Medical diagnostic imaging
internet of medical things
Neural networks
Training
blockchain
Scalability
privacy
pubcrawl
Human behavior
Resiliency
Data models
security
Internet of Things
biblio
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
biblio
Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning
Submitted by aekwall on Mon, 01/11/2021 - 1:41pm
data handling
strict privacy guarantee
realistic fake data generation
private FL-GAN
Lipschitz limit
high-quality synthetic data generation
GAN training
differential privacy synthetic data generation
differential privacy sensitivity
differential privacy generative adversarial network model
data-holders
data generation
federated learning
security of data
data sharing
differential privacy
neural nets
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
information security
data privacy
Scalability
biblio
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
Submitted by grigby1 on Fri, 12/11/2020 - 2:33pm
neural nets
machine learning
machine learning models
malware
Malware Analysis
malware containment
malware detection
Malware-Detection-Cloud-Computing-Graph-Neural-Networks-Federated-Learning-Multicloud-Natural-Language-Processing
Metrics
learning (artificial intelligence)
privacy
Privacy Requirements
pubcrawl
resilience
Resiliency
Task Analysis
Training
virtual machines
feature representation
Biological system modeling
Bit error rate
Cloud Computing
cloud computing environments
cloud-specific optimization problems
data privacy
deep federated defenses
feature extraction
attentional sequence models
federated learning
graph neural networks
graph theory
Human behavior
hypergraph learning models
inductive graph
invasive software
biblio
Poisoning Attack in Federated Learning using Generative Adversarial Nets
Submitted by grigby1 on Wed, 11/04/2020 - 2:14pm
learning (artificial intelligence)
Training data
Training
Task Analysis
Servers
security
Scalability
Resiliency
resilience
pubcrawl
private training data
privacy
poisoning attack
AI Poisoning
Human behavior
Generative Adversarial Nets
gan
Gallium nitride
federated learning system
federated learning architecture
federated learning
deep learning model
Data models
convolutional neural nets
Computational modeling
biblio
Applying Differential Privacy Mechanism in Artificial Intelligence
Submitted by grigby1 on Fri, 08/07/2020 - 3:48pm
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
FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive
Submitted by grigby1 on Fri, 07/03/2020 - 5:05pm
blockchain
decentralize
Deterrence
federated learning
Human behavior
incentive
pubcrawl
resilience
Resiliency
Scalability
trust
biblio
Federated Learning with Bayesian Differential Privacy
Submitted by aekwall on Mon, 06/22/2020 - 11:19am
image classification
sharper privacy loss
Servers
Scalability
Resiliency
pubcrawl
privacy budget
privacy accounting
privacy
machine learning
learning (artificial intelligence)
image classification tasks
Bayes methods
Human behavior
formal privacy guarantees
federated setting
federated learning
differential privacy
deep learning
data privacy
Computational modeling
composability
Bayesian privacy accounting method
Bayesian differential privacy
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