You will get Privacy preserving FL-DL based algorithms

Project details
Federated Learning (FL) is a distributed machine learning approach that enables training models across multiple decentralized devices or servers while keeping the data locally stored and without transferring it to a central server. FL offers several advantages, such as privacy preservation, reduced communication costs, and improved scalability. In the context of deep learning, FL has been applied to various technologies and frameworks.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Tools
Keras, MATLAB, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$70
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - |
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BA
Bokhir A.
Apr 25, 2024
Python AI (RNN) specialist for climate data forecast
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Keith I.
Apr 6, 2024
Neural Networks teacher
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Qual C.
Feb 24, 2024
Develop a Transformer Model for CV
He is a professional person in this field. Very helpful & generous to his clients. God Bless him.
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Habibul Islam A.
Feb 15, 2024
Converting Pytorch into Tensorflow
Salman tries to understand the clients' requirements and solve the problem with his high technical knowledge. I appreciate his service. He did more than I asked for. Such a great person.
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Habibul Islam A.
Jan 29, 2024
Incremental or Online Learning
Salman is highly knowledgeable machine learning expert. He completed my task in a day and did more than what I have asked for. He is also very friendly to me during our discussion time.
About Salman
Artificial Intelligence Research Engineer
100%
Job Success
Sadiqabad, Pakistan - 9:57 pm local time
Specialized in developing data-driven AI solutions spanning NLP, image and video analysis, predictive modeling, and multimodal learning, with a focus on solving complex real-world problems. Highly proficient in Python, PyTorch, TensorFlow, Keras, and OpenCV, and experienced across the full pipeline from research and experimentation to implementation and optimization.
Known for a methodical, results-oriented approach, clear technical communication, and delivering solutions that are both scientifically sound and aligned with client and product goals.
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Implementation
Basic implementation