HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning 事件

HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning arXiv:2606.07621v1 Announce Type: cross Abstract: Edge services increasingly use federated learning to personalize on-device models while keeping sensitive data local. In practice, deployments must handle heterogeneity in both client resources and local data distributions. Model-heterogeneous federated learning lowers client cost by allowing each client to train a subnet of a shared supernet, but most subnet-