Abstract: Federated learning (FL) offers many benefits, such as better privacy preservation and less communication overhead for scenarios with frequent data generation. In FL, local models are trained ...
At the heart of every AI workload lies a pipeline—the process of ingesting, transforming, training, and serving data. These ...