Author

Zhibo Wang

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#federated learning Open access Dec 2026

AFLoRA: Adaptive LoRA for Resource-Efficient Federated Fine-Tuning of Large Language Models

AFLoRA, an adaptive LoRA-based resource-efficient federated fine-tuning framework, introduces diagonal-based dynamic rank assignment, which dynamically adjusts local LoRA ranks based on client resources and local adaptation state guided by a learnable diagonal matrix and develops a zero-padding-based rank-aware aggrega...

Ya-Jie Zhou, Xia-Yi Pang, Zhi-Bo Wang et al. · IEEE Transactions on Mobile... · 0 citations

#artificial intelligence Preprint Nov 2026

SAVeR$^2$: Reasoning-based Safety Alignment for Large Reasoning Models via Verifiable Rewards

This work formalizes LRM safety objectives as requiring non-malicious reasoning and answers, safety consistency, and explicit intent identification, and introduces a reasoning-preserving gradient projection mechanism that analytically resolves conflicts between safety and reasoning gradients, effectively eliminating th...

Yi-Chen Sun, Qi-Rui Liu, Yan Wang et al. · 0 citations

Review Open access 2026

A survey on AI agent security: Reasoning, Acting, and Self-Evolving

A unified taxonomy is established that organizes AI agent execution into three sequential stages: Reasoning, Acting, and Self-Evolving and systematically reviews the threats, defense mechanisms, and evaluation benchmarks associated with each component, providing a comprehensive understanding of security challenges thro...

Dai-Zong Liu, Tian-Yao Luo, Shu-Wei Huang et al. · AI Plus · 2 citations

#federated learning Oct 2026

Unlocking the Potential of Asynchronous Federated Learning in Non-IID Edge Environments

Asynchronous Federated Learning (AFL) enhances the efficiency of edge collaborative learning systems by asynchronously aggregating client updates to prevent slowdowns from slow clients. However, in non-IID scenarios, such operations magnify uneven learning among various local data, degrading global model generalization...

Xiaoyi Pang, Yajie Zhou, Zhibo Wang et al. · IEEE Transactions on Mobile... · 0 citations

Preprint Aug 2026

Inverting the Hidden: Unveiling Multimodal Privacy Leakage in Collaborative LVLM Inference

Results show that privacy-sensitive visual and textual information can be recovered even from deep-layer LVLM hidden states, exposing the privacy risks of collaborative inference.

Shuaifan Jin, Zhibo Wang, Qiyuan Wang et al. · 0 citations

Jul 2026

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models

An attention-free and lightweight token reduction framework as a plug-and-play module for VLMs, which preserves both important and diverse tokens to produce a compact visual representation, and achieves a favorable accuracy-efficiency trade-off.

Xuanyi Hao, Zuoyuan Zhang, Zhibo Wang et al. · arXiv.org · 0 citations