AE	Autoencoder
AES	Advanced Encryption Standard
AI	Artificial Intelligence
BC	Blockchain
BCWD	Breast Cancer Wisconsin Data Set
CNN	Convolutional Neural Network
CP-ABE	Ciphertext Policy Attribute-based Encryption
CP-ABPRE	Ciphertext Policy Attribute-Based Proxy Re-encryption
DES	Data Encryption Standard
DL	Deep Learning
DBN	Deep Belief Network
DML	Distributed Machine Learning
DNN	Deep Neural Network
DP	Differential Privacy
DT	Decision Tree
EI	Edge Intelligence
FL	Federated Learning
FPPDL	Fog-embedded privacy-preserving DL framework
GC	Garbled Circuit
GDRP	General Data Protection Regulation
GRP	Gaussian Random Projections
HDD	Heart Disease Data Set
H-IoT	Heterogeneous Internet of Things
HMM Hidden	Markov Models
IIoT	Industrial IoT
IoT	Internet of Things
IT	Information Technology
LR	Linear Regression
MEC	Multi-Access Edge Computing
MHT	Merkle Hash Tree
MiTM	Man-in-the-middle
ML	Machine Learning
ML-ELM	Multi-Layer Extreme Learning Machine
MLP	Multilayer Perceptron
NB	Naive Bayes
NBNN	Naive-Bayes Nearest Neighbor
NN	Neural Network
OMPE	Oblivious Evaluation of Multivariate Polynomial
PCC	Pearson Correlation Coefficient
PCA	Principal Component Analysis
PID	Pima Indians Diabetes
PRE	Proxy Re-encryption
RP	Random Projection
SGD	Stochastic Gradient Descent
SVM	Support Vector Machine
TP2SF	Trustworthy Privacy-Preserving Secured Framework
VFL verifiable	Federated Learning
WBC Wisconsin	Breast Cancer