Although deep learning is useful in diagnosing rolling bearing faults, it is difficult to diagnose the faults of bearings under multiple operating conditions. To overcome the above-mentioned problem, this paper designs a modular federated learning network for fault diagnosis in multiple working ...
In this paper, the research proposed a new data security sharing scheme based on federated learning and differential privacy technology. Different from the previous centralized data sharing scheme, here, all the training data was local and belonged to the client, the C/S mode was used for cooper...
http://bing.comNeurIPS 2020 Contributed Talk - FedML: Federated Learning Research Library字幕版之后会放出,敬请持续关注欢迎加入人工智能机器学习群:556910946,会有视频,资料放送, 视频播放量 312、弹幕量 0、点赞数 2、投硬币枚数 0、收藏人数 3、转发人数 1, 视
该篇论文提出了一个联邦学习框架——FedML,该框架支持三种计算范式: on-device training for edge devices distributed computing single-machine simulation 强调联邦学习要解决的三大核心问题: statistical heterogeneity system constraints trustworthiness 对上述问题的尝试: statistical heterogeneity: Adaptive Federated Optimiz...
In order to protect the network security of the power network, this paper proposes an intrusion detection model based on federal learning, and uses a cluster algorithm to physically deploy an edge server, and use logic regression algorithm to network data. Intrusion detection. The intrusion ...
. The next-word prediction task applied on this sentence needs to predict a different answer customized for each user. Different clients may assign different labels to the same data. Personalized federated learning Survey paper: Survey of Personalization Techniques for Federated Learning Three ...
On the Outsized Importance of Learning Rates in Local Update Methods Highlight: local model learning rate optimization + automation Researcher: Jakub Federated Learning with Compression: Unified Analysis and Sharp Guarantees Highlight: non-IID, gradient compression + local SGD Researcher: Mehrdad Mahdavi...
This paper hopes to explore the essential characteristics of dynamic capabilities and their influence on the sustainable management strategy of enterprises in crisis events by tracing the development of dynamic capabilities theory. Warner and Wäger (2019) proposed that the dynamic capability framework ...
Machine Learning All research Accelerating LLM Inference on NVIDIA GPUs with ReDrafter content typehighlight|Published year2024 ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition content typepaper|research areaData Science and Annotation,research areaHuman-Computer Interaction|Pub...
of the global model. FedX-enhanced models also have larger inter-class angles, demonstrating better class discrimination (see Figure 3-b). The paper “FedX: Unsupervised Federated Learning with Cross Knowledge Distillation” will be presented at the 2022 European ...