conftrace_

federated graph learning

18 papers

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Also known as

FEDGL FGL

Co-occurring keywords

graph neural network (3962) federated learning (1333) non-iid datum (109) privacy preservation (380) knowledge transfer (648) domain adaptation (4595) contrastive learning (4032) cross-domain recommendation (31) negative transfer (87) graph augmentation (42)

Papers

AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract) AAAI 2026
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026
Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense AAAI 2026
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026
PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026
FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Federated Graph-Level Clustering Network AAAI 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning NIPS 2024
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NIPS 2024
Federated Graph Learning for Cross-Domain Recommendation NIPS 2024
Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
Federated Graph Semantic and Structural Learning IJCAI 2023