MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT

•A novel lightweight DL technique is presented for fine-tuning lung infection segmentation.•The down-sampling module is innovatively designed to effectively capture lesion features from cross-domain CT images.•A novel contextual enrichment module is introduced to empower the network to capture the combinations of static.•A novel federated periodic client selection protocol is proposed to select the training participants fairly and periodically.