<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luyuan Xie</style></author><author><style face="normal" font="default" size="100%">Tianyu Luan</style></author><author><style face="normal" font="default" size="100%">Wenyuan Cai</style></author><author><style face="normal" font="default" size="100%">Guochen Yan</style></author><author><style face="normal" font="default" size="100%">Zhaoyu Chen</style></author><author><style face="normal" font="default" size="100%">Nan Xi</style></author><author><style face="normal" font="default" size="100%">Yuejian Fang</style></author><author><style face="normal" font="default" size="100%">Qingni Shen</style></author><author><style face="normal" font="default" size="100%">Wu, Zhonghai</style></author><author><style face="normal" font="default" size="100%">Junsong Yuan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2025</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://openaccess.thecvf.com/content/CVPR2025/html/Xie\_dFLMoE\_Decentralized\_Federated\_Learning\_via\_Mixture\_of\_Experts\_for\_Medical\_CVPR\_2025\_paper.html</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Computer Vision Foundation / IEEE</style></publisher><pages><style face="normal" font="default" size="100%">10203–10213</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>