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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
federated learning
biblio
Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion in Federated Learning
Submitted by aekwall on Mon, 12/20/2021 - 11:31am
Adversary Models
Aggregates
Collaborative Work
differential privacy
federated learning
Human behavior
Learning systems
Metrics
Metropolitan area networks
Model inversion
privacy
pubcrawl
Resiliency
Resistance
Scalability
Training data
biblio
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Submitted by grigby1 on Tue, 10/12/2021 - 3:22pm
age-of-update
Collaborative Work
federated learning
Human behavior
Measurement
Metrics
Mobile Edge Computing
Privacy Policies
pubcrawl
Scalability
scheduling policy
Servers
signal processing
Signal processing algorithms
speech processing
Training
biblio
FengHuoLun: A Federated Learning based Edge Computing Platform for Cyber-Physical Systems
Submitted by aekwall on Mon, 10/04/2021 - 1:06pm
Resiliency
Pervasive Computing Security
trustworthy
Logistics
federated learning
Biological system modeling
microservices
testing
cyber-physical systems
Computational modeling
Metrics
Scalability
pubcrawl
Servers
edge computing
Cloud Computing
Human Factors
biblio
Using Federated Learning on Malware Classification
Submitted by grigby1 on Tue, 09/21/2021 - 2:55pm
malware classication
Training
testing
Support vector machines
Resiliency
resilience
pubcrawl
privacy
Metrics
malware family
Artificial Intelligence
malware
machine learning
Human behavior
federated learning
feature extraction
Data models
computer security
classification
biblio
Incentive Mechanism Design for Federated Learning in the Internet of Vehicles
Submitted by grigby1 on Wed, 06/30/2021 - 2:58pm
Incentive mechanism
Artificial Intelligence
collaboration
contracts
cyber physical systems
Data models
federated learning
Human behavior
Human Factors
vehicular networks
Intelligent vehicles
internet
Internet of Vehicles
Metrics
Numerical models
pubcrawl
resilience
Resiliency
biblio
FairFed: Cross-Device Fair Federated Learning
Submitted by aekwall on Thu, 06/24/2021 - 10:51am
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 - 10:50am
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 - 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
Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning
Submitted by aekwall on Mon, 01/11/2021 - 12:41pm
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 - 1:33pm
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
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