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Federated Graph Learning Overview by IndritNallbani is a document available to read on EtoBox.

What is Federated Graph Learning Overview about?

This document proposes categorizing federated graph learning (FGL) into four types based on how graph data is distributed among clients in federated learning: 1) inter-graph FGL where clients hold different graphs, 2) intra-graph FGL which is further divided into horizontal and vertical based on feature vs. graph structure distribution, and 3) graph-structured FGL where clients hold different parts of a large graph. It discusses each type

Author

IndritNallbani

Language

EN