Federated Learning Project
Budget: ₹12,500 – ₹37,500 INR
Combine federated learning with a pre-defined dataset (NILM); apply a robust FL algorithm on top of it.
Implement the simple Fed Average algorithm on a pre-implemented NILM (Non-Intrusive Load Monitoring) code.
This FL algorithm also has to be personalized by adding a library to it.
Lastly, to make it fault-tolerant, an algorithm needs to be implemented on top of it.
The expected results have to be in the form of accuracy, precision, and graphs like that
Implement the simple Fed Average algorithm on a pre-implemented NILM (Non-Intrusive Load Monitoring) code.
This FL algorithm also has to be personalized by adding a library to it.
Lastly, to make it fault-tolerant, an algorithm needs to be implemented on top of it.
The expected results have to be in the form of accuracy, precision, and graphs like that