57 | | Created and Trained a ‘Small’ and ’Large’ Neural Networks |
58 | | Compared their performances on the CIFAR10 dataset |
59 | | Established connection between two nodes |
60 | | Communicated test data between nodes to compare accuracy and delay between our NN models |
61 | | Need to serialize by bytes instead of transferring as strings |
62 | | Had a discussion on various research papers related to our project |
| 57 | - Created and Trained a ‘Small’ and ’Large’ Neural Networks |
| 58 | - Compared their performances on the CIFAR10 dataset |
| 59 | - Established connection between two nodes |
| 60 | - Communicated test data between nodes to compare accuracy and delay between our NN models |
| 61 | - Need to serialize by bytes instead of transferring as strings |
| 62 | - Had a discussion on various research papers related to our project |
64 | | Send the data as bytes instead of strings |
65 | | Calculate the times for transfer & processing |
66 | | Read more papers related to stuff about early exit and edge cloud computing |
67 | | Divide data into “chunks” for faster and more efficient transmission |
68 | | Design experiments to test different architectures and implementations of Early Exiting and Split Computing |
69 | | Track and add Age of Information Metrics |
| 64 | - Send the data as bytes instead of strings |
| 65 | - Calculate the times for transfer & processing |
| 66 | - Read more papers related to stuff about early exit and edge cloud computing |
| 67 | - Divide data into “chunks” for faster and more efficient transmission |
| 68 | - Design experiments to test different architectures and implementations of Early Exiting and Split Computing |
| 69 | - Track and add Age of Information Metrics |