| Date | Task |
| ☑️Jan 1st - Mar 31, 2020 | Running Demos and study of SW/HW tools |
| ☑️Apr 1st - Jun 21, 2020 | SNN Learning Algorithms Survey |
| ☑️Jun 22 - Oct 2, 2020 | Complete and submit paper of AEBIS |
| ☑️Oct 3 - Nov 15, 2020 | Revise the AEBIS paper |
| ☑️Nov 16 - Dec 18, 2020 | Investigate the optimization of AEBIS and extend the work |
| ☑️Nov 27 - Dec 18, 2020 | Draft the proposal with Qiu-kun and update the draft paper |
| ☑️Dec 19 - Jan 14, 2021 | Optimize the power consumption prediction model |
| ☑️Jan 15 - Mar 5, 2021 | Examine the power consumption prediction model |
| ☑️Mar 6 - Apr 23, 2021 | Conduct FL experiment |
| ☑️Apr 24 - May 28, 2021 | Conduct BC experiment (focusing on efficiency) |
| ☑️Apr 24 - Jun 14, 2021 | Complete a journal draft |
| ☑️Jun 15 - Jul 14, 2021 | Revise the journal draft and then submit |
| ☑️Jul 15 - Nov 1, 2021 | Conduct FL-QLMS (Federated Learning for Qualified Local Model Selection) experiment |
| ☑️Nov 2 - Nov 21, 2021 | Conduct BC experiment on O-AEBIS |
| ☑️Nov 22 - Dec 14, 2021 | Revise the ACM journal paper and sumbit |
| ☑️Dec 1 - Dec 15, 2021 | Finish FL-BLMS (Federated Learning for Best Local Model Selection) |
| ☑️Dec 16 - Dec 17, 2021 | Submit the journal paper to IEEE Access |
| ☑️Dec 14 - Jan 14, 2021 | Investigate Graph Neural Network (GNN) |
| ☑️Feb 14 - Mar 31, 2022 | Revise the paper and resubmit to IEEE Access |
| Apr 1 - May 31, 2022 | Finish the skeleton of the paper |
| Jun 1 - Jul 31, 2022 | Conduct the experiments on the modular neural network and blockchain |
| Aug 1 - Aug 31, 2022 | Finish a journal paper and submit |