Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight GenerationWhile federated learning leverages distributed client resources, it faces challenges due to heterogeneous client capabilities. This necessitates allocating models suited to clients' resources and careful parameter aggregation to accommodate this heterogenearxiv.orgEffective Heterogeneous Federated Learni..