Data for: STEER-FL: A Process Model for Federated Learning Derived from a Dual-Perspective Systematic Literature Review

Detailed scoring results and justifications for the systematic literature review underlying the STEER-FL process model. Covers process documentation quality scoring of 55 FL-specific and 29 general ML/DS/DM publications, FL suitability scoring of 19 general process models, and qualitative key aspect extraction from 31 FL-specific publications, all against criteria rated on a three-level ordinal scale (0/1/2).

本数据集包含支撑STEER-FL流程模型的系统文献综述的详细评分结果及评分依据，涵盖：对55篇联邦学习（Federated Learning, FL）专属文献与29篇通用机器学习（Machine Learning, ML）、数据科学（Data Science, DS）、数据挖掘（Data Mining, DM）类文献开展流程文档质量评分；对19种通用流程模型进行FL适配性评分；以及从31篇FL专属文献中提取定性关键维度。所有评分均依据三级有序量表（0/1/2）完成。