1. Blockchain-Enhanced Client Selection and AdaTrim for Secure Federated Learning in IoT Networks (submitted)
2. Trimmed Averaging for Efficient Federated Learning in the Internet of Things (submitted)
1. Finalized with the writing of the papers and submitted
1. Do a comprehensive literature review on Edge Internet of things and Edge Devices
2. Comprehensive literature review Comprehensive study on quantization aware training
3. Testing QAT on my neural network model
1. Digital Twin
2. PurePet
1. Digital Twin
-Designing the slabs of the 3D model of the bridge
2. PurePet
-Comprehensive study on the integration from Mongo Db to SQL lite database
1. Digital Twin
-Designing the accessory components such as lamps of the 3D model of the bridge
2. PurePet
-Comprehensive study on the integration from Mongo Db to SQL lite database
The primary goal for this month is to optimize the Federated Average algorithm to enhance its robustness and efficiency
1.Submit at least 2 articles to scientific journals.
2.Submit and attend at least one NSL-approved domestic conference.
3.Submit and attend at least one NSL-approved international conference.