Extraction Workbook — Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies

This dataset contains the complete data-extraction workbook of the systematic literature review "Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies". The review, conducted under the Kitchenham/Charters guidelines and the PRISMA 2020 reporting standard, covers 51 primary studies (2020–2025) on knowledge distillation in federated learning using synthetic or otherwise non-private proxy data, retrieved from five databases (IEEE Xplore, ACM Digital Library, Scopus, ScienceDirect, and Springer Link). The workbook (.xlsx) is organized as follows: Study_Register — bibliographic and contextual metadata for all 57 screened full-text studies (51 included, 6 excluded with reasons): identifier, title, year, venue, publication type, DOI, final eligibility, application domain, dataset summary, federated-learning setting, heterogeneity type, number of clients, and code/data availability. RQ1–RQ6 sheets — research-question-specific extraction fields for every study, covering proxy use and ownership (RQ1), generation mechanisms and curation policies (RQ2), effects on communication, privacy, and performance (RQ3), proxy-quality criteria and metrics (RQ4), threat models and defenses (RQ5), and methodological gaps and reproducibility (RQ6). Quality_Assessment — per-study scores for the eight-item quality checklist (Q1–Q8; Yes/Partial/No), with computed total scores (mean 6.70, median 7.00, range 4.0–8.0 across the included corpus). Controlled_Vocabulary — the harmonized terminology enforced across all categorical fields (proxy type, distillation flow, ownership scope, mechanism family, threat type, defense mechanism). Dashboard / README — corpus composition summaries and usage notes. Every extracted field is accompanied by a KeyEvidence entry pointing to the page, figure, or table of the source article that supports it, making each synthesis claim in the review traceable to primary evidence. The workbook is the primary resource for replicating, auditing, or extending the review. The deposit also includes the Python script used to generate all figures of the review directly from the workbook.