Author

Yan Wang

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#artificial intelligence Jul 2026

PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

PFAdapter is proposed, a communication-efficient framework introducing hierarchical LoRA decomposition to explicitly separate adapter parameters into global-shared and local-private components, establishing an efficient solution for agentic AI deployment in resource-constrained communication networks.

Jing Liu, Kun Yang, Yan Wang et al. · arXiv.org · 0 citations

#machine learning Jul 2026

Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning

Federated Continual Multimodal Learning (FedCMM), a framework that embeds continual-learning safeguards into the federated optimization loop at three complementary levels, is proposed, confirming that holistic, modality-aware optimization enables robust evolutive adaptation across heterogeneous networked AI deployments...

Jing Liu, Chenxuanyi Zou, Jiayang Ren et al. · arXiv.org · 0 citations