# Federated Learning

> Implement federated learning for distributed model training

- Skill: `lgrappag/federated-learning` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/federated-learning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/federated-learning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/federated-learning

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# Federated Learning

Implement federated learning for distributed model training

## Risk Level
**HIGH**

## Core Rules
- Optimize communication
- ensure synchronization
- validate convergence

## Response Pattern

### When Using This Skill
1. Configure federated setup
2. train distributed
3. validate results
4. Ensure performance meets requirements

## Usage Contexts
- Distributed training
- privacy-preserving learning

## What NOT to Do
- Communication overhead
- synchronization issues
- convergence problems

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.