REPOGEO REPORT · LITE
youngfish42/Awesome-FL
Default branch main · commit 34b4ddca · scanned 6/27/2026, 3:11:50 PM
GitHub: 1,998 stars · 224 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface youngfish42/Awesome-FL, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Add an explicit introductory paragraph to the README
Why:
COPY-PASTE FIX# Federated Learning Resources This repository serves as a comprehensive and timely curated list of academic resources on federated learning, encompassing papers, frameworks, datasets, tutorials, and workshops. We strive for comprehensiveness by covering diverse aspects of FL, from foundational papers to cutting-edge frameworks and datasets, and maintain timeliness through regular updates.
- hightopics#2Add 'awesome-list' to the repository topics
Why:
CURRENTartificial-intelligence, awesome, computer-vision, data-mining, database, deep-learning, efficiency, federated-learning, federated-learning-framework, graph, graph-neural-networks, information-retrieval, knowledge-graph, machine-learning, natural-language-processing, paper, privacy, security, system, tabular-data
COPY-PASTE FIXartificial-intelligence, awesome, awesome-list, computer-vision, data-mining, database, deep-learning, efficiency, federated-learning, federated-learning-framework, graph, graph-neural-networks, information-retrieval, knowledge-graph, machine-learning, natural-language-processing, paper, privacy, security, system, tabular-data
- mediumabout#3Refine the repository description to explicitly mention 'curated list'
Why:
CURRENTComprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
COPY-PASTE FIXA comprehensive and timely curated list of academic resources on federated learning, including papers, frameworks, datasets, tutorials, and workshops.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- arXiv.org · recommended 1×
- Google Scholar · recommended 1×
- Microsoft Research Federated Learning Resources · recommended 1×
- intel/openfl · recommended 1×
- weihong-guo/awesome-federated-learning · recommended 1×
- CATEGORY QUERYWhere can I find a comprehensive collection of academic papers and frameworks for federated machine learning?you: not recommendedAI recommended (in order):
- arXiv.org
- Google Scholar
- Microsoft Research Federated Learning Resources
- OpenFL (intel/openfl)
- Awesome Federated Learning GitHub Repository (weihong-guo/awesome-federated-learning)
- Google AI Blog
- NVIDIA Research
- TensorFlow Federated (TFF) (tensorflow/federated)
- NVIDIA FLARE (NVIDIA/NVFlare)
- ACM Digital Library
- IEEE Xplore
- Papers With Code
AI recommended 12 alternatives but never named youngfish42/Awesome-FL. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best resources for exploring federated learning frameworks and datasets for privacy-preserving AI?you: not recommendedAI recommended (in order):
- PySyft
- TensorFlow Federated
- FedML
- LEAF
- FATE
- OpenFL
- Substra
AI recommended 7 alternatives but never named youngfish42/Awesome-FL. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of youngfish42/Awesome-FL?passAI named youngfish42/Awesome-FL explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts youngfish42/Awesome-FL in production, what risks or prerequisites should they evaluate first?passAI named youngfish42/Awesome-FL explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo youngfish42/Awesome-FL solve, and who is the primary audience?passAI did not name youngfish42/Awesome-FL — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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youngfish42/Awesome-FL — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite