The federated learning market, valued at $127.75 million in 2023, is expected to expand to $341.92 million by 2032, registering a CAGR of 11.60% from 2024 to 2032. The market expansion is being driven ...

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...