FLock SDK

FLock SDK is a powerful software dev kit that enables data and computation resources owners to collaboratively train models using any source data.

Key Features

1. Federated learning:

   Distributed approach that allows data owners to train models collaboratively while keeping their data locally.

2. Collaborative training:

   By sharing source data, FLock enables multiple participants to contribute.

3. Rewards and smart contracts:

   Participants are incentivised with rewards and penalties specified by pre-defined smart contracts, ensuring fair and transparent compensation.

4. Secure and confidentiality-focused

   Data owners retain control over their sensitive information.

5. Flexible integration:

   Designed to be easily integrated into your existing workflows and systems.

Example Uses

1. Flock LLM:

   flock_llm directory - example use of Flock SDK with the Flock Large Language Model(LLM). This demonstrates how to fine-tune a Vicuna-7B and train a LoRA adaptor.

2. Credit Card Fraud Detection:

   credit_card_fraud_detection directory - example use of Flock SDK to train a fraud detection model.