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FedCode: Communication-Efficient Federated Learning via Transferring Codebooks
To ensure a smooth learning curve and proper calibration of clusters between the server and the clients, FedCode periodically transfers model weights after multiple rounds of solely communicating codebooks.
PCB Defect Detection Using Denoising Convolutional Autoencoders
We trained our model with defective PCBs and forced it to repair the defective parts.
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