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Hello everyone, I am fairly new to federated learning and flower framework but have been recently researching on device learning.
I have noticed in past forums that there were questions regarding ONNX runtime supporting on device learning (which it does now) - microsoft/onnxruntime#11098.
So my question is, whether Flower framework also offers support for ONNX runtime framework now or is there a plan for it in the future?
If not, is there a workaround that could make ONNX runtime compatible with Flower framework for federated learning?
The text was updated successfully, but these errors were encountered:
What is your question?
Hello everyone, I am fairly new to federated learning and flower framework but have been recently researching on device learning.
I have noticed in past forums that there were questions regarding ONNX runtime supporting on device learning (which it does now) - microsoft/onnxruntime#11098.
So my question is, whether Flower framework also offers support for ONNX runtime framework now or is there a plan for it in the future?
If not, is there a workaround that could make ONNX runtime compatible with Flower framework for federated learning?
The text was updated successfully, but these errors were encountered: