Resource-Efficient Layer-wise Federated Self-Supervised Learning for Edge Devices

LW-FedSSL, a layer-wise federated self-supervised learning approach, allows edge devices to incrementally train a single layer of the model at a time, significantly reducing their resource requirements while maintaining comparable performance to end-to-end federated self-supervised learning.