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cs.LG2026
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
Siyuan Wen, Jiahao Zeng, Ningning Ding
Diffusion unlearning is essential for mitigating the generation of harmful or copyrighted content in text-to-image models. Current diffusion unlearning techniques determine the mod…
cs.LG2026
Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
Jiahao Zeng, Ming Tang, Ningning Ding
Large language models (LLMs) present a trade-off between performance and cost, where more powerful models incur greater expense. LLM routing aims to mitigate expenses while maintai…
cs.LG2025
Personalized federated prototype learning in mixed heterogeneous data scenarios
Jiahao Zeng, Wolong Xing, Liangtao Shi +4
Federated learning has received significant attention for its ability to simultaneously protect customer privacy and leverage distributed data from multiple devices for model train…