How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution

no code implementations • 16 Nov 2024 • Jinbo Wang, Ruijin Wang, Fengli Zhang

In this work, based on the key insight that the convergence process of the model is a highly predictable process, we break away from the traditional horizontal solution of defense and innovatively transform the problem of solving the optimal aggregation gradients into a vertical solution problem.

Federated Learning Model Poisoning

HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment

no code implementations • 7 Nov 2023 • Zhanting Zhou, Kejun Bi, Yuyanzhen Zhong, Chao Tang, Dongfen Li, Shi Ying, Ruijin Wang

We embed the supply chain network corresponding to individual goods in the supply chain using the graph embedding module, resulting in a directed homogeneous graph with just product nodes.

Graph Embedding Graph Neural Network