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Author

Jiayang Ren

The University of British Columbia

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A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees

Despite the importance for interpretability, decision trees face severe scalability challenges. Existing global optimal methods are often limited by binary feature selection and shallow tree depths, whereas traditional heuristic approaches frequently sacrifice predictive accuracy. To overcome these limitations, this pa...

Chenxuanyi Zou, Jiayang Ren, Qiangqiang Mao et al. · 0 citations

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. · 0 citations

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