Posts
All the articles I've posted.
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Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
本文提出 FedCEO 框架,通过服务器端张量低秩优化和客户端语义互补性,在差分隐私联邦学习中实现了效用-隐私权衡的显著改进,理论上提升了 O(√d) 的界限,并在实验中验证了其优越性能。
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Test-time Correlation Alignment
本文提出测试时相关性对齐(TCA)范式,通过构建伪源域相关性并应用线性变换对齐测试数据特征,显著提升测试时适应(TTA)性能,同时保持高效性和源域知识。
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Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models
This paper introduces Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning (LS-Mixture SFT), which combines long and short CoT datasets to fine-tune non-reasoning LLMs, achieving a 2.3% average accuracy improvement and 47.61% response length reduction on reasoning benchmarks.
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CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios
本文提出了一种基于协调场的代理系统(CoordField),通过大型语言模型解析自然语言指令并利用动态势场实现异构无人机群在城市环境中的去中心化任务分配,实验验证了其在任务覆盖、响应时间和动态适应性方面的优越性能。
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Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks
This paper proposes a Dynamic Bayesian Network framework for autonomous vehicles that enhances safety in cut-in maneuvers by integrating lateral evidence and probabilistic safety assessments, achieving superior crash avoidance in high-speed scenarios (9.22% crash rate) compared to baseline models in the JRC-FSM simulator.