In alignment with decarbonization efforts, there has been widespread global interest in renewable energy sources such as wind and solar, which are connected to the grid via grid-connected inverters.

In the landscape of smartphone-based human activity recognition (S-HAR), adopting Federated Deep Learning (FDL) introduces challenges, notably in communication inefficiencies and data confidentiality.