Clustered federated learning (FL), which groups clients with similar data distributions for collaborative training, represents a pivotal technique within federated learning for effectively addressing ...

In the era of artificial intelligence and big data, the demand for data processing has surged, leading to larger datasets and computation capability. Distributed machine learning (DML) has been ...