April 2, 2024, 7:42 p.m. | Tsuyoshi Id\'e, Dzung T. Phan, Rudy Raymond

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.01270v1 Announce Type: new
Abstract: This paper presents two methodological advancements in decentralized multi-task learning under privacy constraints, aiming to pave the way for future developments in next-generation Blockchain platforms. First, we expand the existing framework for collaborative dictionary learning (CollabDict), which has previously been limited to Gaussian mixture models, by incorporating deep variational autoencoders (VAEs) into the framework, with a particular focus on anomaly detection. We demonstrate that the VAE-based anomaly score function shares the same mathematical structure as …

abstract analysis arxiv blockchain collaborative constraints cs.cr cs.dc cs.lg decentralized dictionary expand framework future multi-task learning next paper platforms privacy the way type

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