Parvaneh Saeedi

Smart Split-Federated Learning over Noisy Channels for Embryo Image Segmentation

Split-Federated (SplitFed) learning is an extension of federated learning that places minimal requirements on the clients’ computing infrastructure, since only a small portion of the overall model is deployed on the clients’ hardware. In SplitFed learning, feature values, gradient updates, and model…