by instadatahelp | Aug 28, 2023 | AI Blogs
Federated Learning (FL) is a technique that focuses on training a global model while ensuring the privacy of client data. However, FL encounters challenges due to the non-IID data distribution among clients. To address this, Clustered FL (CFL) has emerged as a...
by instadatahelp | Aug 28, 2023 | AI Blogs
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models Ziyue Wang, Zhiqiang Tan; 24(235):1−112, 2023. Abstract This study focuses on the problem of simultaneous estimation of location and variance matrix under the...
by instadatahelp | Aug 28, 2023 | AI Blogs
This research paper discusses the integration of the Internet of Things (IoT) ecosystem with Federated Learning (FL), a decentralized machine learning technique. FL is commonly used to collect and train machine learning models from various distributed data sources....
by instadatahelp | Aug 28, 2023 | AI Blogs
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces George Stepaniants; 24(86):1−72, 2023. Abstract A new approach is proposed for learning the fundamental solutions (Green’s functions) of various linear partial differential equations...
by instadatahelp | Aug 28, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs share our values of openness, community, excellence, and user data privacy. We are...
