== Resilient Edge-Cloud Autonomous Learning with Timely inferences


**Project Advisor and Mentors:** Professor Anand Sarwate, Professor Waheed Bajwa, Nitya Sathyavageeswaran, Vishakha Ramani, Yu Wu, Aliasghar Mohammadsalehi, Muhammad Zulqarnain


**Names:** Shreya Venugopaal, Haider Abdelrahman, Tanushree Mehta, Lakshya Gour, Yunhyuk Chang


**Objective:** The purpose of this project is to use ORBIT in order to 

Main objectives
- learn how to design and run experiments on ORBIT
- prototype a handoff scheme for ML prediction
- develop a latency profiling framework for MEC-assisted machine learning

– Split the network, early exit, simulate multiple CPU speeds, network delays

**Progress
**


*Week 1
Goals
- Team introductions
- Kickoff meetings
- Refining and understanding research questions
- go over goals for the summer
For next week:
- Go through WINLAB orientation (TBD)
- Reading for next time:
- PPA Chapters 1 and 2
- Coding:
- install python (via Anaconda or something else)
- go through the interactive intro to python online or by downloading the notebook
- Review the basics of Python linked from the UT Austin site to learn basic syntax, flow control, etc.
*Week 2:
Goals:
Summary: 
- Basics of pattern recognition and Machine Learning (PPA - Patterns, Predictions, Actions)
- set up an instance using pytorch on an Orbit node
- Created a node image with Pytorch
- Basics of Pytorch
- Created small Machine Learning models
- Loaded the Modified National Institute of Standards and Technology (MNIST) database onto the node
computed the second moment matrix
- Did PCA and SVM on MNIST
Next Steps:
- Create and train a “small” and “large” Neural Network 
- Attempt to simulate the difference between their performances at inference
Links:
Week 3:
Goals:
Summary: 
- Created and Trained a ‘Small’ and ’Large’ Neural Networks
- Compared their performances on the CIFAR10 dataset
- Established connection between two nodes 
- Communicated test data between nodes to compare accuracy and delay between our NN models
- Need to serialize by bytes instead of transferring as strings
- Had a discussion on various research papers related to our project
Next Steps:
- Send the data as bytes instead of strings
- Calculate the times for transfer & processing
- Read more papers related to stuff about early exit and edge cloud computing
- Divide data into “chunks” for faster and more efficient transmission
- Design experiments to test different architectures and implementations of Early Exiting and Split Computing
- Track and add Age of Information Metrics
Presentation links: 
- Link - Lakshya
- Link - Shreya
- Link - Haider
- Link - James
- Link - Tanushree
Week 4:
Goals
Summary
Next Steps