Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer
so far I can upload the updates in client to the server.
the main process is:
first i save a model.zip locally and open the app,
take some pics and click the "training" botton,
then it goes to the training interface,
after certain iters, the training is finished, and the server can get the updates uploaded by the clients.
So the path from client to server is working.
what i wanna know is how to download the model from the server?
Any suggesstion is appreciated!
Hello, why do I use your code, the client and the server can't communicate? I checked that the phone did not upload images to the server after taking a photo.
I have read the issues "The client can't communicate with the server" and have some questions. I met the same situation. I have already configurated the server IP. The server can be visited by the phone, but the client can't visit it. I saw someone mention the model.zip before. But I don't know where to place it. If anyone can give me some help, I will be very grateful.
i got this error when i running the app on mobile
**
Error: Static interface methods are only supported starting with Android N (--min-api 24): java.lang.Object com.mccorby.photolabeller.datasource.network.FederatedApi.access$super(com.mccorby.photolabeller.datasource.network.FederatedApi, java.lang.String, java.lang.Object[])