代码大模型 / AI 编程

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning

ATR-Bench：一种用于适应、信任和推理的联邦学习基准

Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar, Yutong Xie, Yuyin Zhou, Xiaofeng Liu, Iqra Altaf Gillani, Janibul Bashir

专题命中 代码评测 ：repository(abstract)；分类 cs.CL、cs.LG

AI总结 ATR-Bench通过适应、信任和推理三个维度系统评估联邦学习方法，分析其概念基础、任务形式化及开放挑战，提供基准测试和文献驱动洞察，推动实际应用中的联邦学习发展。

Comments This paper is withdrawn due to issues in attribution to related work and the fair attribution of benchmark results, which were not adequately addressed at the time of submission. These issues affect the experimental analysis and require substantial revision