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Evidence record 12695 · automatically gathered

Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub

Federated Learning (FL) enables collaborative model training without centralizing raw data, but building and operating FL systems remains difficult due to distributed execution, rapidly evolving frameworks, and privacy and governance requirements. In this paper, we present an empirical study of FL developer challenges by independently analyzing 495 Stack Overflow posts and 9,116 GitHub issues and pull requests from 92 FL-related projects. Using BERTopic-based topic modeling and difficulty indica

Record details

Published: 21 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy
Retrieved: 23 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (21 July 2026), “Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub,” evidence record 12695, https://ethics.ai/record/12695 (originally published by arXiv).

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