AI	Artificial Intelligence
AMC	AutoML for Model Compression
CF	Collaborative Filtering
CH	Challenge
CNN	Convolutional NN
CS	Compressive Sensing
CCS	Chaotic Compressive Sensing
DK	Domain Knowledge
DL	Deep Learning
DNN	Deep NN
DDNN	Distributed DNN
DRL	Deep Reinforcement Learning
DSSGD	Distributed Selective SGD
EC	Exclusion Criteria
Edge-AI	Artificial Intelligence in the Edge
EI	Edge Intelligence
ELM	Extreme Learning Machine
FC	Factorization Convolutional [layers]
FL	Federated Learning
FPPDL	Fog-embedded Privacy-Preserving Deep Learning
GoSGD	Gossip Stochastic Gradient Descent
HDDL	Holistic Distributed Deep Learning
HIN	Heterogeneous Information Network
HT	Hoeffding Tree
HTL	Hypothesis Transfer Learning
IC	Inclusion Criteria
IRB	Inverted Residual Block
IIoT	Industrial Internet of Things
ITS	Intelligent Transportation Systems
LRN	Lightweight Residual Network
LSI	Latent Semantic Indexing
MEC	Mobile Edge Computing
MEMS	Micro-Electro-Mechanical Systems
ML	Machine Learning
NILM	Non-Intrusive Load Monitoring
NN	Neural Network
PHM	Prognostic Health Management
PoCI	Proof of Common Interest
PSNR	Peak Signal to Noise Ratio
QC	Quality Criteria
QoS	Quality of Service
RAN	Radio Access Network
RELM	Regularized ELM
RQ	Research Question
SDR	Semidefinite Relaxation
SGD	Stochastic Gradient Descent
SLR	Systematic Literature Review
SNN	Spiking NN
SPDNN	Semi-Parallel DNN
SVM	Support Vector Machine
T-CPS	Transportation Cyber-Physical Systems
WHO	World Health Organization