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@Fractal-Compute-Orchestrations

Fractal: Compute Orchestrations

A sophisticated orchestration platform providing leased computational quotas powered by a global network of mobile worker nodes.

Fractal Ecosystem Architecture

F R A C T A L

C O M P U T E   O R C H E S T R A T I O N S

Pioneering the Future of Decentralized Intelligence.

Enterprise Grade Federated Learning On-Device Computation License Design Case Study


FractalWorkspace | FractalCore | FractalAndroid | Design Case Study


⬡ Executive Overview

Fractal is an enterprise-grade distributed computing ecosystem engineered to harvest fragmented consumer compute across mobile edge devices while strictly preserving user privacy and device health. The framework treats edge devices not merely as remote processors, but as autonomous, resource-constrained nodes operating under human-centric constraints.

By bridging centralized control plane orchestration with on-device machine learning, Fractal resolves the memory and computation walls of modern deep learning across two foundational paradigms:

  1. Federated Learning (On-Device Training): Training neural network layers locally on edge hardware via TensorFlow Lite, eliminating raw data transfer to central servers, aggregating model updates with deterministic Federated Averaging (FedAvg), and tokenizing compute contributions through liquid data credits (WiFi Bank).
  2. Decentralized Pipeline Parallelism (Large Foundation Model Inference): Slicing monolithic foundation models (such as Llama 3 8B) into memory-bounded INT4 partitions ($\le$ 150MB .pte slices) mapped into device memory (mmap) without triggering mobile memory limits, streaming INT8 activation vectors across a distributed mobile mesh.

⬡ Core Ecosystem Repositories

Subsystem Designation Technology Stack Architectural Role
FractalWorkspace The Nexus Git Submodules, System Specs Master umbrella repository coordinating all submodules, architecture blueprints, unified documentation, and multi-repo development workflows.
FractalCore The Engine Python 3.10+, Flask, TFLite, PyTorch, Firestore Central orchestration server, multi-tenant session isolation, data segment dispatching, FedAvg weight aggregator, and offline neural graph compiler.
FractalAndroid The Node Kotlin, Android SDK (API 24+), TFLite, MVVM Native Android edge client application executing on-device training, real-time hardware telemetry gating (SoC temperature, battery SoC, memory pressure), and WiFi Bank rewards.

⬡ System Architecture & Paradigms

graph TD
    subgraph ControlPlane ["Central Server (FractalCore)"]
        direction TB
        Ingress["REST API & Ingress Gateway"]
        TenantMgr["Multi-Tenant Isolation Manager"]
        Scheduler["Task Queue & Data Segment Bins"]
        Aggregator["Deterministic Federated Aggregator (FedAvg)"]
        Compiler["Neural Graph Slicer & INT4 Quantizer"]
    end

    subgraph EdgeNodes ["Distributed Mobile Compute Fleet (FractalAndroid)"]
        direction TB
        NodeA["Node A (Layer 0-7 / Worker)"]
        NodeB["Node B (Layer 8-15 / Worker)"]
        NodeC["Node C (Layer 16-23 / Worker)"]
        NodeD["Node D (Layer 24-31 / Worker)"]
    end

    subgraph Ledger ["Ledger & Persistence"]
        FirestoreDB[("Firestore Token Ledger & Rewards")]
        PhysicalStorage[("Tenant Storage Silos (.ckpt / .pte / .tflite)")]
    end

    Ingress --> TenantMgr
    TenantMgr --> Scheduler
    Aggregator --> PhysicalStorage
    Compiler --> PhysicalStorage
    Ingress --> FirestoreDB

    NodeA & NodeB & NodeC & NodeD <-->|"REST HTTPS (Task Polling & Weight Uploads)"| Ingress
    NodeA -->|"INT8 Activations (<= 4.1KB)"| NodeB
    NodeB -->|"INT8 Activations (<= 4.1KB)"| NodeC
    NodeC -->|"INT8 Activations (<= 4.1KB)"| NodeD
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⬡ Technical Specifications & System Contracts

Contract Name Target Subsystem Engineering Specification
Partition Weight Limit Slicer Compiler & Storage Tier Binary slice $\le$ 150MB (.pte / .tflite)
Activation Size Limit Inter-Node Transport Mesh Tensor frame $\le$ 4,100 bytes (INT8)
Hardware Telemetry Gate On-Device Execution (OperationControl) Battery $\ge$ 50% or Charging == True, Battery Temp $\le$ 40.0 C
Tenant Sandboxing Storage & Route Isolation Physical silo: data/tenants/{username}/
Stateless Auth Token Ingress Gateway X-Auth-Token (secrets.token_hex(32))

⬡ Industry Validation & Accolades

  • Design Presentation: View the official Design Case Study on Behance.
  • Academic & Industry Recognition: Formally recognized for technical excellence and innovative distributed architecture at the Air University FYP Open House 2026.

⬡ Join the Fractal Initiative

Fractal Headquarters

Fractal is actively expanding its core research and systems engineering initiatives. For architectural inquiries, academic collaborations, or engineering positions:


F R A C T A L   N E T W O R K
Decentralize Everything.

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  1. FractalWorkspace FractalWorkspace Public

    A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.

    Python 97 3

  2. FractalCore FractalCore Public

    The central nervous system and backend orchestrator for Fractal. It handles multi-tenant task scheduling, real-time TFLOPs budgeting, and federated weight aggregation using FedAvg.

    Python 49

  3. FractalAndroid FractalAndroid Public

    A human-centric, resource-aware Android node for edge computing and federated learning. Orchestrates distributed intelligence with privacy-first localization and empathetic hardware management.

    Kotlin 47

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