In this paper, we propose a Rotation-Invariant Coordinate Convolution (RIC-C), which achieves natural invariance to arbitrary rotations around the input center without additional trainable parameters ...
This project demonstrates how federated learning works by training local models on two separate datasets (simulating two clients) and combining their updates using Federated Averaging (FedAvg) — all ...
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