39 | | Goals: |
40 | | Summary: |
41 | | - Created and Trained a ‘Small’ and ’Large’ Neural Networks |
42 | | - Compared their performances on the CIFAR10 dataset |
43 | | - Established connection between two nodes |
44 | | - Communicated test data between nodes to compare accuracy and delay between our NN models |
45 | | - Need to serialize by bytes instead of transferring as strings |
46 | | - Had a discussion on various research papers related to our project |
47 | | Next Steps: |
48 | | - Send the data as bytes instead of strings |
49 | | - Calculate the times for transfer & processing |
50 | | - Read more papers related to stuff about early exit and edge cloud computing |
51 | | - Divide data into “chunks” for faster and more efficient transmission |
52 | | - Design experiments to test different architectures and implementations of Early Exiting and Split Computing |
53 | | - Track and add Age of Information Metrics |
54 | | Presentation links: |
55 | | - Link - Lakshya |
56 | | - Link - Shreya |
57 | | - Link - Haider |
58 | | - Link - James |
59 | | - Link - Tanushree |
60 | | |