Coupling Perception and Reasoning in Federated Multimodal Graph Foundation Models

arXiv:2610.00277 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes

Sources

• STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning
• FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning
• PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning
• LoRA: Low-Rank Adaptation of Large Language Models
• MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning
• Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework
• Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
• Graph4MM: Weaving Multimodal Learning with Structural Information
• FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling
• Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
• Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach
• Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity

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