2.2 Federated Multi-Task Learning with Graph Neural Networks 基于多任务学习(MTL),定义 centralized federated graph MTL(FedGMTL)如下: \mathop{\min}_{\theta,\Psi,\Phi_{pool},\Phi_{task}}\sum_{k=1}^K\frac{1}{N_k}\sum_{i=1}^{
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)来解决无服务器MTL优化问题,并为DPA-SGD的收敛性提供了理论保证,这进一步验证了我们设计的合理性。(本文做了什么) 我们在图级...
Federated Multi-Task Learning. Contribute to gingsmith/fmtl development by creating an account on GitHub.
[6]. Martín Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang.Deep Learning with Differential Privacy.2016 [7]. Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar.Federated Multi-Task Learning2016 [8]. Yang Liu, Tianjian Chen, Qiang ...
Jiayi Chen and Aidong Zhang. 2022. FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22). Association for Computing Machinery, New York, NY, USA, 87–96....
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints - felisat/clustered-federated-learning
Abstract—Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (FC) is regarded as a revolutionary concept to ...
Federated learning has been applied to train different tasks, posing new computation challenges in training, especially when the scenario becomes multi-task. In this paper, we profile the FL multi-task training process at the operator-level to identify and solve the p...
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”...
In this paper, we investigate multi-task OtA FL in Cell-free mMIMO systems. We propose optimal designs of transmit coefficients and receive combining at different levels of cooperation among the access points, aiming to minimize the sum of OtA model aggregation errors across all FL groups. ...