Tensorflow federated simulation communicating via gRPC reverse proxy over WebSocket
$250-750 CAD
Pagado a la entrega
TensorFlow Federated enables federated machine learning, but uses gRPC for communication. We need to make this data transit through a WebSocket.
The goal of this task is to create a simulated federated learning model, similar to this one: [login to view URL]
Once the model is up and running with two simulated client server and one simulated master server, create the architecture described in the attached figure.
This job is open to a developer who has experience using TensorFlow federated in Python only.
Please submit a proposal only if you understand exactly the attached figure and know how to build a gRPC to WebSocket to gRPC tunnel / proxy.
Nº del proyecto: #29931199
Sobre el proyecto
7 freelancers están ofertando un promedio de $650 por este trabajo
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Hi, Greetings for the day! We are a team of passionate Machine Learning Engineers based in Mumbai, India, who have developed and deployed complex AI solutions using Machine Learning and Computer Vision. We have a g Más
Hi, I am a Deep Learning/Machine Learning Expert using python. I can realize ML/DL technologies with python tensorflow, keras etc. Deep Learning Skills: CNN,RNN,RCNN,LSTM,Auto-Encoder…. Machine Learning skills:KNN, SV Más
Hello... Greetings!!!!!!!! I have gone through your requirement and understood every aspect of them. I have more than 6 years of experience in Python, machine learning and tensorflow. When you want this project to Más
