Author

Yuming Ai

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Preprint Jul 2026

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework

FedGAMMA is proposed, casting federated multimodal graph foundation learning as a two-stage semantic-structural alignment problem of federated pre-training and prompt-based fine-tuning, and outperforms competitive baselines accross multi-domain datasets on multiple tasks.

Xunkai Li, Guohao Fu, Yuming Ai et al. · 0 citations