Pi 5 Federated Learning Industrial Network
Pi 5 Federated Learning Industrial Network: Train AI Across Factory Nodes Without Moving Private Data
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Build a real-world federated learning network that respects data sovereignty — five Pi Zero 2W factory nodes each train a model on local vibration data from ADXL345 sensors, never exposing the raw data. A central Raspberry Pi 5 orchestrates secure aggregation with differential privacy guarantees, mirroring industrial AI deployments in manufacturing. This kit transforms your bench into a distributed AI testbed for the smart factory of tomorrow.
What You'll Build
You'll create a functioning federated learning cluster where edge devices collaboratively improve a shared model while keeping production data private. The Pi 5 aggregates encrypted updates from the Zero 2W nodes and applies noise to satisfy differential privacy, giving you hands-on experience with the same architecture used in Pharma 4.0 and Industry 5.0 lines.
What You'll Learn
- Deploy federated learning algorithms across a heterogeneous Raspberry Pi cluster using TensorFlow Federated or PyTorch.
- Implement local differential privacy mechanisms on sensor data streams from ADXL345 accelerometers.
- Configure secure aggregation pipelines between Pi Zero 2W edge nodes and a Pi 5 parameter server over Ethernet.
- Monitor gradient leakage risks and tune the privacy-utility trade-off on real industrial vibration patterns.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Raspberry Pi Zero 2W | 5 |
| ADXL345 | 5 |
| MicroSD Card 16GB | 5 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| Micro USB Cable | 5 |
| Ethernet Switch 8-port | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is designed for B.Tech ECE, CSE, or AI streams exploring privacy-first industrial IoT. It is ideal for Smart India Hackathon teams working on data localization challenges, and for IIT, NIT, and VIT capstone projects simulating federated learning on real hardware. Industry interns prototyping edge AI pipelines will also find it directly applicable.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
The AI companion guides you through each step, and you can drop a message on WhatsApp for real-time help from our team.
Can I use this kit with my own production data and not the simulated vibration patterns?
Absolutely. The ADXL345s capture real machine vibration; you can retrain models on your own factory's data streams and swap in new datasets seamlessly.
Is the differential privacy implementation built-in or do I have to code it from scratch?
The AI companion provides template code with a configurable privacy budget (epsilon). You can adjust it and immediately observe the impact on model accuracy and data leakage.
What network support is required? Does it work over Wi-Fi?
The kit uses a dedicated Ethernet switch for low-latency, stable aggregation. While you can adapt the nodes to Wi-Fi, the provided setup relies on wired connections to minimize gradient transfer noise.
5 Pi Zero 2W factory nodes each train locally on private production data — Pi 5 aggregates with differential privacy guarantees.
What's in this kit
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items