近日,国际顶级多媒体会议 ACM Multimedia (ACM MM) 2024 公布了最佳论文提名名单 人工智能学院梁雪峰教授团队发表的论文Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning 荣获本届会议的最佳论文提名 (Best Paper Nomination) 由其指导的硕士生江河...
近日,国际顶级多媒体会议ACM Multimedia (ACM MM) 2024公布了最佳论文提名名单,人工智能学院梁雪峰教授团队发表的论文《Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning》荣获本届会议的最佳论文提名(Best Paper Nomination),由其指导的硕士生江河欣和硕士生许文鑫为共同第一作者,梁雪峰教授为通讯...
近日,国际顶级多媒体会议ACM Multimedia (ACM MM) 2024公布了最佳论文提名名单,人工智能学院梁雪峰教授团队发表的论文《Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning》荣获本届会议的最佳论文提名(Best Paper Nomination),由其指导的硕士生江河欣和硕士生许文鑫为共同第一作者,梁雪峰教授为通讯...
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联邦学习在MM 2024会议中的论文清单将在本篇内容进行展示。 上一年度的 MM 联邦学习论文投稿请参考:文章速览 | 联邦学习 x MM'2023 创作声明: 本篇内容为 @白小鱼 整理,意在促进对联邦学习领域的学习与交流。 论文集基于小鱼手工筛选与核对后收录于Awesome-FL项目,论文元数据的获取和整理基于开源软件Zotero,论文...
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without providing an all-sided shield for FL. It is difficult to simply combine them as they rely on totally contradictory assumptions. In this paper, we propose FPD, a four-pronged defense against both non-colluding and colluding Byzantine attacks. Our main idea is to utilize absolute similar...