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 |