INTRODUCTION  
MACHINE LEARNING AT THE EDGE: TRAINING, COMPRESSION, AND DEPLOYMENT  
MACHINE LEARNING APPLICATIONS AT THE EDGE  
MACHINE LEARNING FRAMEWORKS, SOFTWARE, AND HARDWARE  
CHALLENGES AND FUTURE DIRECTIONS  
CONCLUSION  