Sep 5, 2024 · We propose a Federated Graph Knowledge Distillation framework (FedGKD), which aims to effectively identify rumors while preserving user privacy.

Download Citation | On Sep 1, 2024, Peng Zheng and others published FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection ...

FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection. https://doi.org/10.1016/j.knosys.2024.112476 ·. Journal: Knowledge ...

FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection. Knowledge-Based Systems. 2024-09 | Journal article. DOI: 10.1016/j ...

FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection. 2024, Knowledge-Based Systems. Show abstract. The massive spread of ...

Peng Zheng's 6 research works with 43 citations, including: FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection.

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning ... Knowledge Graphs via Privacy-preserving ...

FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection · Knowledge-Based SystemsPub Date: 2024-09-05. Bidirectional Decoupled ...

Works (14). sort. FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection. Knowledge-Based Systems. 2024-11 | Journal article. DOI ...

A privacy-preserving distributed contextual federated online learning framework with big data support in social recommender systems. IEEE Trans. Knowl. Data ...