Abstract: The analysts are aware of the fact that not all servers function at the same speed owing to many factors, such as the amount of memory present, the speed of the processor, the bandwidth, ...

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...