You will get Federated Learning Systems /Hierarchical FL Systems / FL with blockchain
Project details
Build a robust federated learning system using TensorFlow and PyTorch. This includes tasks like data preparation, defining the problem, and modeling the data. Develop a comprehensive federated learning system that yields exceptional results, guiding the process from inception to the actual implementation of federated learning. Additionally, create hierarchical federated learning systems and implement architectures for blockchain-based federated learning.
AI Development Type
Deep Learning, Model TuningAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$250
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 10 days |
Number of Revisions | 3 | 3 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
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HM
Hend M.
Oct 29, 2024
Docker implementation
AY
Ahmad Y.
Mar 14, 2024
Implement FL model
Highly skill pro
Great skillset on ML/DL
Delivers ahead of time
Would rehire him for sure
Great skillset on ML/DL
Delivers ahead of time
Would rehire him for sure
MS
Muhammad S.
Feb 5, 2024
Federated learning with CNN model (Pytorch)
HM
Hend M.
Jan 12, 2024
Hierarchical Federated Learning
I worked with him on many projects; he is smart, helps me in many directions, professional, fast response, clear explanation, and organized
many thanks
many thanks
HM
Hend M.
Jan 8, 2024
Solve FL architecture problem
fast response, professional, and patient
thank you
thank you
About Karim
AI Engineer | I Build Multi-Agent Systems That Ship to Production
Toulouse, France - 12:24 am local time
With 6+ years of production experience in Python and applied machine learning, I specialize in leveraging Large Language Models (LLMs) and GenAI to automate intelligent workflows, surface enterprise knowledge, and deliver actionable business intelligence.
My Approach: Translating Business Problems into AI Solutions
My primary strength is the ability to quickly translate complex real-world domain problems into precise, scalable, and statistically sound ML workflows. Clients trust me because I focus on:
Business First: Deep-diving into your domain to ensure the AI solution directly addresses a high-value pain point.
Production Readiness: Delivering clear documentation and exceptionally maintainable code, ensuring your system is built for long-term scaling and stability.
System Mastery: Expertise in challenging areas like OCR, layout analysis, and entity extraction from complex, unstructured documents (e.g., invoices, contracts).
Statistical Rigor: A strong foundation in optimization, model tuning, and statistics to ensure maximum predictive accuracy and reliability.
Core Technical Toolkit
My expertise covers the full spectrum of modern AI development, from initial data ingestion to final production deployment.
1. Generative AI & LLMs
Architecture: Building robust RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and custom vector search applications.
Models: Practical experience with major models (GPT, Claude, Llama 3) and custom fine-tuning techniques.
Structure: Guaranteeing reliable, structured JSON/Pydantic output from LLMs for downstream integration.
2. Machine Learning Engineering
Deployment: Integrating models into production systems using frameworks like FastAPI for low-latency serving.
Data Flow: Designing robust data pipelines for feature engineering, model training, and continuous evaluation.
Infrastructure: Utilizing modern data stacks including Pinecone, Weaviate, and Qdrant (Vector Databases) and Python libraries like LangChain.
3. Applied ML & Deep Learning
Domains: Natural Language Processing (NLP), Computer Vision, and Time-Series Forecasting.
What I Deliver: Concrete Solutions
You get functional, measurable, and integrated AI capabilities tailored to your needs:
Intelligent AI Assistants: Custom LLM-based chatbots and GenAI systems that automate complex communication and documentation tasks.
Automated Document Intelligence: Systems for fast, accurate document understanding, including entity extraction and data structuring from PDFs and images.
Predictive & Classification Models: High-accuracy models designed for operational decision-making (e.g., risk scoring, customer churn prediction).
Full Deployment & Handover: End-to-end data pipelines ready to run in your cloud environment, complete with clear documentation and a plan for long-term maintenance.
Steps for completing your project
After purchasing the project, send requirements so Karim can start the project.
Delivery time starts when Karim receives requirements from you.
Karim works on your project following the steps below.
Revisions may occur after the delivery date.
Data preparation
The initial phase involves the implementation of various data mining techniques. These include addressing missing values, eliminating NaN (+inf, -inf) values, feature engineering, addressing imbalanced data, scaling normalization on the dataset..etc
Problem definition
In the second step, it's crucial to pinpoint the problem at hand. Are we dealing with a classification challenge (binary or multiclass) or a regression task? Additionally, we define our target and partition the dataset into X and y.