Comparison
FLsystem-paper vs Awesome-LLMs-ICLR-24
Verdict
Pick FLsystem-paper if fLsystem-paper is a curated list of federated learning systems literature geared towards providing research and development insights exclusively from big tech companies and open-source projects; pick Awesome-LLMs-ICLR-24 if awesome-LLMs-ICLR-24 is an essential resource hub for researchers and developers working with large language models, focusing on LLM research papers accepted at ICLR in 2024.
Markdown twin · FLsystem-paper alternatives · Awesome-LLMs-ICLR-24 alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | FLsystem-paper | Awesome-LLMs-ICLR-24 |
|---|---|---|
| Maintenance | Dormant (909d since push) As of 2w · github_public_v1 | Dormant (856d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- FLsystem-paper
- A curated list of FL system-related academic papers and frameworks
- Awesome-LLMs-ICLR-24
- Compilation of LLM papers from ICLR 2024
Stars
- FLsystem-paper
- 75
- Awesome-LLMs-ICLR-24
- 72
Forks
- FLsystem-paper
- 7
- Awesome-LLMs-ICLR-24
- 5
Open issues
- FLsystem-paper
- 1
- Awesome-LLMs-ICLR-24
- 0
Language
- FLsystem-paper
- -
- Awesome-LLMs-ICLR-24
- -
Adopt for
- FLsystem-paper
- FLsystem-paper is a curated list of federated learning systems literature geared towards providing research and development insights exclusively from big tech companies and open-source projects.
- Awesome-LLMs-ICLR-24
- Awesome-LLMs-ICLR-24 is an essential resource hub for researchers and developers working with large language models, focusing on LLM research papers accepted at ICLR in 2024.
Persona
- FLsystem-paper
- -
- Awesome-LLMs-ICLR-24
- -
Runtime
- FLsystem-paper
- -
- Awesome-LLMs-ICLR-24
- -
License
- FLsystem-paper
- (unknown)
- Awesome-LLMs-ICLR-24
- MIT
Last pushed
- FLsystem-paper
- Feb 7, 2024
- Awesome-LLMs-ICLR-24
- Apr 4, 2024
Categories
- FLsystem-paper
- Developer Tools, Model Training
- Awesome-LLMs-ICLR-24
- Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- FLsystem-paper
- 909d
- Awesome-LLMs-ICLR-24
- 856d
Open issues (now)
- FLsystem-paper
- 1
- Awesome-LLMs-ICLR-24
- 0
Full report
- FLsystem-paper
- Trust report
- Awesome-LLMs-ICLR-24
- Trust report
Choose FLsystem-paper if…
- (no information available)
- Pricing: The repository itself is free and open source, but usage might involve proprietary frameworks or projects from big tech companies that could have their own licensing models..
- Tags unique to FLsystem-paper: federated-learning, machine-learning, papers.
- When you need to focus on federated learning systems contributions from major technology firms like Apple, Google, Meta, Microsoft, IBM, Nvidia, WeBank, and Alibaba.
When NOT to use FLsystem-paper
- If your research scope is broader than federated learning systems; this repository focuses specifically on the system aspects within FL.
- For a comprehensive collection that includes other ML domains, as FLsystem-paper restricts its curation to federated learning systems and closely related works.
Choose Awesome-LLMs-ICLR-24 if…
- Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-agent, llm-evaluation, llm-framework.
- Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks.
- If you are focusing specifically on recent advancements in Large Language Models discussed in the context of ICLR 2024, this repository will provide cutting-edge research papers and insights.
When NOT to use Awesome-LLMs-ICLR-24
- If you are looking for more general resources that cover a wider time span or different conferences than ICLR 2024.
- For projects where immediate practical application of models without understanding the underlying research is prioritized over detailed exploration and analysis.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AmberLJC/FLsystem-paper) · observed Aug 4, 2026
- GitHub forks (AmberLJC/FLsystem-paper) · observed Aug 4, 2026
- Last push (AmberLJC/FLsystem-paper) · observed Feb 7, 2024
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (azminewasi/Awesome-LLMs-ICLR-24) · observed Aug 8, 2026
- GitHub forks (azminewasi/Awesome-LLMs-ICLR-24) · observed Aug 8, 2026
- Last push (azminewasi/Awesome-LLMs-ICLR-24) · observed Apr 4, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: FLsystem-paper 75 · Awesome-LLMs-ICLR-24 72 (synced Aug 4, 2026).
Common questions
- What is the difference between FLsystem-paper and Awesome-LLMs-ICLR-24?
- FLsystem-paper: A curated list of FL system-related academic papers and frameworks. Awesome-LLMs-ICLR-24: Compilation of LLM papers from ICLR 2024. See the comparison table for live GitHub stats and shared categories.
- When should I choose FLsystem-paper over Awesome-LLMs-ICLR-24?
- Choose FLsystem-paper over Awesome-LLMs-ICLR-24 when (no information available); Pricing: The repository itself is free and open source, but usage might involve proprietary frameworks or projects from big tech companies that could have their own licensing models.; Tags unique to FLsystem-paper: federated-learning, machine-learning, papers; When you need to focus on federated learning systems contributions from major technology firms like Apple, Google, Meta, Microsoft, IBM, Nvidia, WeBank, and Alibaba.
- When should I choose Awesome-LLMs-ICLR-24 over FLsystem-paper?
- Choose Awesome-LLMs-ICLR-24 over FLsystem-paper when Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-agent, llm-evaluation, llm-framework; Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks; If you are focusing specifically on recent advancements in Large Language Models discussed in the context of ICLR 2024, this repository will provide cutting-edge research papers and insights.
- When should I avoid FLsystem-paper?
- If your research scope is broader than federated learning systems; this repository focuses specifically on the system aspects within FL. For a comprehensive collection that includes other ML domains, as FLsystem-paper restricts its curation to federated learning systems and closely related works.
- When should I avoid Awesome-LLMs-ICLR-24?
- If you are looking for more general resources that cover a wider time span or different conferences than ICLR 2024. For projects where immediate practical application of models without understanding the underlying research is prioritized over detailed exploration and analysis.
- Is FLsystem-paper or Awesome-LLMs-ICLR-24 more popular on GitHub?
- FLsystem-paper has more GitHub stars (75 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are FLsystem-paper and Awesome-LLMs-ICLR-24 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to FLsystem-paper or Awesome-LLMs-ICLR-24?
- GraphCanon lists graph-backed alternatives at FLsystem-paper alternatives and Awesome-LLMs-ICLR-24 alternatives (FLsystem-paper markdown twin, Awesome-LLMs-ICLR-24 markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, FLsystem-paper or Awesome-LLMs-ICLR-24?
- FLsystem-paper: Dormant. Awesome-LLMs-ICLR-24: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for FLsystem-paper and Awesome-LLMs-ICLR-24?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FLsystem-paper trust report; Awesome-LLMs-ICLR-24 trust report.