> For the complete documentation index, see [llms.txt](https://docs.flock.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flock.io/flock-products/fl-alliance/smart-contracts-deep-dive.md).

# Smart Contracts Deep-dive

<figure><img src="/files/SPcvVEoQiBuzZfhV8eVw" alt=""><figcaption><p>FL Alliance Smart Contract Interactions.</p></figcaption></figure>

## Core Contracts

### `FlockTaskManager.sol`

**Role:** Factory and lifecycle controller for all `FlockTask` instances.

* **Task Creation**: Deploys new `FlockTask` contracts, passing in initial parameters like `_totalNumberOfRounds`, `_minStakeThreshold`, `_initialRewardPoolSize`, etc.
* **Task Management**: Maintains a list (via `EnumerableSet`) of active or unfinished `FlockTask` addresses.
* **Finish Task**: The owner can mark a task as `finished` if necessary (`finishTask(...)`), removing it from the active set.

### `FlockTask.sol`

**Role:** This contract implements a decentralized and scalable model for round-based federated learning (“FL tasks”).

* **Staking & Roles**: Participants stake tokens to become eligible to join rounds, where they are randomly assigned roles (proposers, voters).
* **Proposal & Voting Rounds**: Each round, selected proposers submit model updates, and voters commit/reveal votes that determine the most popular model via stake-weighted voting.
* **Rewards & Slashing**: Well-behaved participants (correct contributions/votes) receive rewards; dishonest behaviors can be “slashed,” losing a percentage of their stake.

## Libraries

### `LibABDKMathQuad.sol`

**Role**: Quadruple-precision (128-bit) math operations.

* Implements IEEE 754–style floating-point arithmetic for `bytes16` values.
* Provides precision far beyond typical fixed-point or 256-bit integer math.
* Useful for advanced computations like logarithms, exponentials, or rational approximations.

### `LibFlockTask.sol`

Role: Provides specialized numeric and utility functions for federated-learning tasks. Key Functions include:

* **`mulDiv`(uint256 x, uint256 y, uint256 z)**
  * Combines multiplication and division with quadruple precision by leveraging `LibABDKMathQuad`.
* `rand`()
  * Generates a pseudo-random number by hashing block and transaction properties.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.flock.io/flock-products/fl-alliance/smart-contracts-deep-dive.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.