论文笔记:ICML'21 SpreadGNN: Serverless Multi task Federated Learning for Graph Neural Networks 天下客 机器学习、联邦学习、图神经网络14 人赞同了该文章 前言 GNN 是分析解决图机器学习问题的首选方法,但是由于用户方的隐私问题、法规限制和商业竞争等原因,集中大量的真实世界图数据用于GNN的训练是很困难的。
我们提出了一个称为SpreadGNN的多任务联合学习框架,该框架在存在部分标签和缺少中央服务器的情况下运行,如图1所示。我们交替使用task和class这个词,每个标签由多个任务组成。首先,我们提出了一种多任务学习(MTL)公式来从部分标签中学习。其次,在我们的MTL公式中,我们利用分散周期平均随机梯度下降(DPA-SGD)来解决无服务...
Multi-task federated learning for personalized healthcare Multi-task federated learning (MTFL) is an emerging approach in personalized healthcare that combines the benefits of federated learning and multi-task learning. Federated learning enables the training of models on distributed datasets while ensuring...
Federated learning (FL) for medical image segmentation becomes more challenging in multi-task settings where clients might have different categories of labels represented in their data. For example, one client might have patient data with “healthy”...
Federated multi-task learning (FMTL) has emerged as a promising framework for learning multiple tasks simultaneously with client-aware personalized models. While the majority of studies have focused on dealing with the non-independent and identically distributed (Non-IID) characteristics of client datase...
原文链接:SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks: 摘要 Graph Neural Networks (GNNs) are the first choice methods for graph machine learning problems thanks to their ability to learn state-of-the-art level representations from graph-structured data. However, ...
Multi-task Federated Learning based on Client Scheduling in Mobile Edge Computing With the gradual enrichment of mobile edge computing scenarios, more mobile edge smart devices are involved in edge computing. And due to the requirement f... Yushun Zhang,Xing Zhang,Yizhuo Cai - 2022 IEEE/CIC ...
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computingdoi:10.1109/TPDS.2021.3098467Jed MillsJia HuGeyong MinInstitute of Electrical and Electronics Engineers (IEEE)
摘要 SpreadGNN Framework 用于图层次学习的联邦图神经网络 图神经网络的联邦多任务学习 SpreadGNN DPA-SGD的收敛性质 实验 总结 论文信息 SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks 原文链接:SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks:https:/...
A Multi-Task Learning Formulation for Survival Analysis oFederated Multi-Task Learning oOnline Learning Online Multi-Task Learning Toolkit (OMT) v1.0 oReinforcement Learning Robust-Multitask-Reinforcement Learning oPackage & Toolbox MALSAR: Multi-task learning via Structural Regularization ...