FEDHCA2: Hetero-Client Federated Multi-Task Learning Framework

The author introduces the FEDHCA2 framework to address challenges in Hetero-Client Federated Multi-Task Learning, focusing on model incongruity, data heterogeneity, and task heterogeneity. The proposed framework leverages Hyper Conflict-Averse Aggregation, Hyper Cross Attention Aggregation, and Hyper Aggregation Weights to learn personalized models effectively.