| 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 |   |  |