Federated domain generalization: A survey
Machine learning typically relies on the assumption that training and testing distributions are
identical and that data is centrally stored for training and testing. However, in real-world …
identical and that data is centrally stored for training and testing. However, in real-world …
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Federated learning is a powerful technique that enables collaborative learning among
different clients. Prototype-based federated learning is a specific approach that improves the …
different clients. Prototype-based federated learning is a specific approach that improves the …
Feature-Enhanced Federated Graph Convolutional Network for Major Depression Disorder Identification
C Liu, S Shan, X Ding, H Wang, Z Jiao - Available at SSRN 4777495 - papers.ssrn.com
Background and ObjectiveDirectly training a graph convolutional neural network (GCN) on a
multi-site dataset poses a challenge to protecting the privacy of patients with major …
multi-site dataset poses a challenge to protecting the privacy of patients with major …