DCI-PFGL: Decentralized Cross-Institutional Personalized Federated Graph Learning for IoT Service Recommendation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3340880
Abstract: The massive amount of data on the Internet of Things (IoT) drives recommendation systems (RSs) based on graph neural network (GNN) to fully play a role in improving user experience. However, data sharing and centralized… read more here.
Keywords: federated graph; graph learning; dci pfgl; recommendation ... See more keywords
Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3560635
Abstract: The Internet of Things (IoT) collects large volumes of diverse data, with graph data as a critical component, and extensively utilizes Federated Graph Learning (FGL) to process this data while preserving data security. However, the… read more here.
Keywords: iot institutions; feature spaces; federated graph; graph learning ... See more keywords
Federated Graph Reinforcement Learning-Driven Adaptive Routing Strategy for Mega LEO Satellite Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3593508
Abstract: This letter addressed the routing selection problem in mega low Earth orbit (mLEO) satellite constellations, where the large-scale of satellite network and highly dynamic environment result in an expansive routing space and necessitate frequent adjustments… read more here.
Keywords: satellite; federated graph; routing strategy; graph reinforcement ... See more keywords
Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3536612
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 on crucial graph features for improved graph representation learning while maintaining… read more here.
Keywords: graph attention; privacy preserving; attention; privacy ... See more keywords
Is Sharing Neighbor Generator in Federated Graph Learning Safe?
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2024.3482448
Abstract: Nowadays, as privacy concerns continue to rise, federated graph learning (FGL) which generalizes the classic federated learning to graph data has attracted increasing attention. However, while the focus has been on designing collaborative learning algorithms,… read more here.
Keywords: attack; privacy; federated graph; graph learning ... See more keywords
Personalized Federated Graph Learning on Non-IID Electronic Health Records
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3370297
Abstract: Understanding the latent disease patterns embedded in electronic health records (EHRs) is crucial for making precise and proactive healthcare decisions. Federated graph learning-based methods are commonly employed to extract complex disease patterns from the distributed… read more here.
Keywords: electronic health; federated graph; non iid; model ... See more keywords
A Privacy-Enhancing Mechanism for Federated Graph Neural Networks
Sign Up to like & getrecommendations! Published in 2025 at "Symmetry"
DOI: 10.3390/sym17040565
Abstract: In recent years, with the rapid development of the internet, the accumulation of massive data has significantly propelled the advancement of artificial intelligence. Graphs, as an important data structure for representing relationships between entities, are… read more here.
Keywords: graph neural; privacy; federated graph; privacy enhancing ... See more keywords