2 papers
cs.CV2025
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition
Yufei Li, Jirui Wu, Long Tian +4
Online surgical phase recognition has drawn great attention most recently due to its potential downstream applications closely related to human life and health. Despite deep models…
cs.LG2024
Federated Dropout: Convergence Analysis and Resource Allocation
Sijing Xie, Dingzhu Wen, Xiaonan Liu +3
Federated Dropout is an efficient technique to overcome both communication and computation bottlenecks for deploying federated learning at the network edge. In each training round,…