A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction
Graph neural networks (GNNs) have recently grown in popularity for disease prediction.
Existing GNN-based methods primarily build the graph topological structure around a single …
Existing GNN-based methods primarily build the graph topological structure around a single …
Fedsr: Federated Learning for Image Super-Resolution Via Detail-Assisted Contrastive Learning
Y Yang, X Ren, L Ke - Available at SSRN 4811424 - papers.ssrn.com
Federated learning (FL) is a distributed learning paradigm that collaboratively learns a
global model from multiple decentralized clients without sharing raw data, providing an …
global model from multiple decentralized clients without sharing raw data, providing an …