Author

Dandan Liu

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Jul 2026

QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics

Experiments on public benchmarks and real-world industrial BI workloads show that QwenPaw-Data improves both verifiable data access capability and higher-level analytical quality, offering a practical foundation for reliable, traceable, and continuously improving enterprise data agents.

Tian Zeng, Yuntao Hong, Zhong-Jun Ding et al. · arXiv.org · 1 citation

Conference Open access Sep 2026

DASFL: Dynamic Adaptive Split Federated Learning for Heterogeneous Clients

Split Federated Learning (SFL) has emerged as a pivotal paradigm for privacy-preserving distributed training on resource-constrained edge devices by partitioning neural networks between clients and a server. A critical design choice in SFL is the split layer, which determines the computation distribution and the semant...

Ai-Jing Li, Ya-Wen Li, Guan-Hua Ye et al. · Proceedings of the Thirty-Fi... · 0 citations