Skip to main content
. 2020 Dec 29;21(1):167. doi: 10.3390/s21010167
AFL Agnostic federated learning
BTSB Boosting tree secure boost
BYOC Bring your own components
CCPA California Consumer Privacy Act
CNN Convolutional neural network
CP Computing party
DL Deep learning
DNN Deep neural network
DP Differential privacy
DPSGD Differentially private stochastic gradient descent
FATE Federated AI Technology Enabler
FedAvg Federated averaging
FedMA Federated matched averaging
FedProx Federated proximal
FedSGD Federated stochastic gradient descent
FL Federated learning
FL & DP Federated Learning and Differential Privacy
FLS Federated learning system
GBDT Gradient-boosting decision tree
GDPR General Data Protection Regulation
HE Homomorphic encryption
IBM FL IBM Federated Learning
IID Independent and identically distributed
IP Input party
IoT Internet of Things
IOWA Induced ordered weighted averaging
LogR Logistic regression
LR Linear regression
LSTM Long short-term memory
ML Machine learning
MMARS Medical Model ARchive
MPC Multi-party computation
NN Neural network
OWA Ordered weighted averaging
PDPA Personal data protection
PFF Prefix frequency filtering
PFL Paddle Federated Learning
PFNM Probabilistic federated neural matching
PR Poisson regression
PSI Private set intersection
RL Reinforcement learning
RNN Recurrent neural network
RP Result party
RPM Revolutions per minute
SecAgg Secure aggregation
SGD Stochastic gradient descent
SPDZ SecretShare MPC Protocol
TEE Trusted execution environment
TF TensorFlow
TFF TensorFlow Federated