PTOPOFL: Topology-Guided Personalised Federated Learning with Persistent-Homology Client Descriptors

Clustered and personalised federated learning (FL) needs a signal telling the server which clients should share a model. Most methods derive it from losses or model updates that must be recomputed during training. We study pTopoFL, which derives it once, before training, from a compact persistent-ho