摘要
阐述在片上网络平台上联邦学习任务的分配与调度机制。通过将联邦学习建模为任务DAG图,并综合考虑平台计算资源、通信能力,实现在实时性、相关性、执行可靠性约束下的任务优化映射。
This paper describes the allocation and scheduling mechanism of federated learning tasks on on-chip network platforms.It models federated learning as a task DAG graph and comprehensively considers platform computing resources and communication capabilities to achieve task optimization mapping under real-time,correlation,and execution reliability constraints.
作者
周宏
吴霁霖
高炜
张靖怡
ZHOU Hong;WU Jilin;GAO Wei;ZHANG Jingyi(China National Tobacco Corporation Guizhou Provincial Company Information Center,Guizhou 550001,China;School of Automation,Southeast University,Jiangsu 215009,China)
出处
《集成电路应用》
2024年第7期86-87,共2页
Application of IC
基金
中国烟草总公司贵州省公司科技项目(2022XM27)。