Differential Privacy Based Federated Learning

STRONG · 76
Community indexed

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Downloads0
Stars423
Version1.0.0
Quality52/100 · Needs review
Trust76/100 · Strong shortlist
Audit68/100 · Needs review

Supply asset profile

Legal, policy, and compliance

Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.

Browse track

Scenario

Legal and compliance

I need my agent to review contracts, privacy policies, or compliance documents and summarize risks.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Maintenance

stale

2y since push

Risk

Needs review

Repository appears stale

GitHub quality

423

52/100 quality · 76/100 trust

Coverage tags

LegalLegal and compliancelegal-complianceprivacycompliance

Review notes

Repository appears stale · Repository looks stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Needs review
52

Inspect the repository carefully before adding it to an agent workflow.

Trust

Strong shortlist
76

Good trust signals with a few areas worth checking before rollout.

Audit

Needs review
68

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v4

Human review before install

Test in a sandbox workflow and compare its install path with close alternatives.

PythonPrivacyCodexClaude CodeCursor

Stars

423 GitHub stars

Repo activity

423 stars, 67 forks

Maintenance

2y since push

License

GPL-3.0

Install

npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 2y since push

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files
  • Explain architecture

Suited agents

PythonPrivacyCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
76/100
Risk level
Needs review
Auto install
review

Install command

npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • No OpenAgentSkill engagement data yet
  • Repository appears stale

Agent safety v2

52/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Repository appears stale

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Differential Privacy Based Federated Learning in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Differential%20Privacy%20Based%20Federated%20Learning%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wenzhu23333-differential-privacy-based-federated-learning/install
Install command: npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Differential Privacy Based Federated Learning for this task. Review https://www.openagentskill.com/api/skills/wenzhu23333-differential-privacy-based-federated-learning/install, then install with: npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

42/100

Coding agents

Platforms

Python, Privacy, Claude Code

Audit report

Needs review · 68/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Needs validation for Coding agents

Do a manual repository review before adding this to an agent workflow.

42
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Coding agents

Trust label

Needs manual review

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 52/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Strong shortlist

Good trust signals with a few areas worth checking before rollout.

76
Trust score

GitHub adoption

INFO

423 GitHub stars

Stars/forks activity

INFO

423 stars, 67 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

GPL-3.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern

Review before install

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

Recommended action

Test in a sandbox workflow and compare its install path with close alternatives.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

52
GitHub stars
423
Freshness
2y ago
Install ready
Yes
License
GPL-3.0
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
privacyFULL

Technical Details

Version
1.0.0
License
GPL-3.0
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonPrivacy

Decision snapshot

Needs validation

42
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

68
Needs review
Security
88/100
Maintenance
38/100
Install
92/100
Open full auditOpen eval report

Agent outcome signals

Real use feedback

Reported by agents after resolve, review, and install.

Outcomes
0
Installs
0
Risk blocked
0
Setup needed
0

No agent outcome data yet

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Differential Privacy Based Federated Learning, ready for a manual X post.

OpenAgentSkill Update
OpenAgentSkill Update
Today: Differential Privacy Based Federated Learning

Use it when you want your coding agen...

423 stars - legal-compliance
Link: https://www.openagentskill.com/skills/wenzhu23333-differential-privacy-based-federated-learning?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Differential Privacy Based Federated Learning:
https://www.openagentskill.com/skills/wenzhu23333-differential-privacy-based-federated-learning?ref=x

Install: npx skills add wenzhu23333/Differential-Privacy-Based-Federated-Learning

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to wenzhu23333 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/wenzhu23333-differential-privacy-based-federated-learning)](https://www.openagentskill.com/skills/wenzhu23333-differential-privacy-based-federated-learning)

Author

W

wenzhu23333

@wenzhu23333

Platform Fit

Health Signals

GitHub stars
423
Quality score
37/100
Last GitHub push
Oct 26, 2024
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Strong shortlist

76
  • GitHub adoption423 GitHub starsINFO
  • Stars/forks activity423 stars, 67 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2y since pushFIX
  • License clarityGPL-3.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS