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You will get Federated Learning Expert | AI & Privacy-Preserving ML in Healthcare
Project details
I will help you build secure and privacy-preserving Federated Learning solutions tailored to your business or research needs. With expertise in AI, machine learning, and distributed systems, I design models that allow data to remain on local devices while collaboratively training a powerful global model.
This approach ensures data privacy, compliance, and scalability, making it ideal for industries like healthcare, finance, and IoT. Whether you need a basic setup, a custom ML model, or an advanced federated learning pipeline with secure aggregation and optimization, I can deliver end-to-end solutions.
This approach ensures data privacy, compliance, and scalability, making it ideal for industries like healthcare, finance, and IoT. Whether you need a basic setup, a custom ML model, or an advanced federated learning pipeline with secure aggregation and optimization, I can deliver end-to-end solutions.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SPSS, TensorFlow, Tesseract OCR, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$70
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 10 | 15 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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EM
Excel-Global M.
Oct 27, 2024
Python developer to tutor on federated machine learning IDS with XAI for IoV
Check his work carefully before payment.
About Rana Muzaffar
Financial NLP & Time-Series Forecaster | Federated Learning
Lahore, Pakistan - 11:57 pm local time
What I deliver:
Federated Learning (PySyft, Flower, TensorFlow Federated)
Privacy-preserving ML with Differential Privacy
Financial forecasting & feature engineering (returns, volatility, beta, RSI, correlation networks) for LSTM/RL/GNN models
MLOps with Docker, MLflow, Kubernetes
Deep Learning with PyTorch & TensorFlow
Deployment on AWS, GCP, Azure
If your project involves sensitive data, distributed systems, or financial ML, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Rana Muzaffar can start the project.
Delivery time starts when Rana Muzaffar receives requirements from you.
Rana Muzaffar works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.
Send all the requirements in word file format and better to send a sample work