FLock
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  • What is FLock
    • Introduction to FLock.io
    • The Centralisation Problem
    • Architectural Breakdown
      • System Design
      • Blockchain Layer
      • AI Layer
  • ❤️‍🔥FLock Products
    • AI Arena
      • Participants
      • Quickstart
        • Pre-requisites
          • WSL installation
        • Delegator Guide
        • Training Node Guide
        • Validator Guide
      • Task Lifecycle Deep-dive
      • Smart Contracts Deep-dive
    • FL Alliance
      • Participants
      • Components
      • Task Lifecycle Deep-dive
        • 1. Staking and Role Assignment
        • 2. FL Training
        • 3. FL Aggregation and Evaluation
        • 4. Rewards
      • Smart Contracts Deep-dive
      • FL Client
        • Pre-Requsites
        • Steps to Quickstart
      • FLocKit
    • AI Marketplace
      • Quickstart
        • Getting started Manual creation
        • Guideline Manual
        • Model API guide
        • Tutorials
          • Create a discord bot with Model API
          • Farcaster Frames with Model API
      • Participants
      • Deep-dive
        • Function breakdown
        • RAG
        • Contribution Mechanism
        • Roadmap
    • 2025 Roadmap
  • 💰FLOCK TOKENOMICS
    • Overview
      • Incentivising open source model development
      • Security
    • Token Utility
      • Supply
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    • Network Participation
      • AI Arena
        • Task Creator
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        • Delegation Pool Rewards Explainer
      • FL Alliance
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    • Token Allocations
    • Airdrop
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  • 💻FLock Use-Cases
    • AI-assisted Coding - FLock x Aptos LLM (outperforms ChatGPT-4o!)
    • AI Assistants - Farcaster GPT, Scroll GPT and many more to come!
    • AI Companions - Professor Grump w/ Akash
    • Web3 Agents - Text2SQL Agent
    • Privacy-preserving Healthcare
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    • FLock.io-Verified Developers
    • FLOCK Token Airdrop Terms and Conditions
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  1. FLock Products
  2. FL Alliance
  3. Task Lifecycle Deep-dive

2. FL Training

At the start of each round, proposers initially download the global model, which was finalised in the previous round. Using the proposer’s own local training dataset, proposers then proceed to update the model through local training, and upload the updated model to voters for evaluation.

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Last updated 9 months ago

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