IEEE

Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network

Abstract: Federated graph attention networks (FGATs) are gaining prominence for enabling collaborative and privacy-preserving graph model training. The attention mechanisms in FGATs enhance the focus ...
IEEE

Algorithmic Verification of Modular Multiplicative Divisor Labeling in Vertex Switched Jewel Graphs with Odd/Even Jewel Count for Secure Networks Using Python Pseudocode

Abstract: This research investigates the characteristics of Modular Multiplicative Divisor MMD labeling in a Jewel Graph under vertex switching when the jewel count is odd. We formally establish that ...