by instadatahelp | Sep 3, 2023 | AI Blogs
The focus of this paper is on the challenge of localizing data in a federated setting where the data is spread across multiple devices. This problem is complex due to the decentralized nature of federated environments and the presence of outlier data, which hinders...
by instadatahelp | Sep 3, 2023 | AI Blogs
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo; 24(167):1−37, 2023. Abstract This study examines a broad range of bilevel problems, where the upper-level problem...
by instadatahelp | Sep 3, 2023 | AI Blogs
Partial Label Learning (PLL) is a form of weakly supervised learning in which each training instance is assigned multiple candidate labels, but only one label is considered the true label. However, this assumption may not always hold true due to potential mistakes in...
by instadatahelp | Sep 3, 2023 | AI Blogs
Approximate Post-Selective Inference for Regression with the Group LASSO Snigdha Panigrahi, Peter W MacDonald, Daniel Kessler; 24(79):1−49, 2023. Abstract In the absence of adjustments for selection bias, inference for the selected parameters after using the Group...
by instadatahelp | Sep 3, 2023 | AI Blogs
The trustworthiness of machine learning models in practical applications has been recently threatened by vulnerabilities to backdoor attacks. While it is commonly believed that not everyone can be an attacker due to the significant effort and extensive experimentation...
