PapersSelected11:29Chinese contentFedCritic:面向6G多小区OFDMA的无服务器联邦批评学习资源分配6G超密集组网中的干扰管理是业界难题,FedCritic用无服务器联邦学习解决了集中式训练的高开销问题,做无线资源调度和网络优化的研究者可以直接参考其轻量级协调方案。#6G#federated learning#multi-agent reinforcement learning#OFDMAaarXiv cs.AI@Amin Farajzadeh, Melike Erol-KantarciSourceRead laterReadWorth followingUsefulFollow 6G