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cs.LG2024
Harnessing the Power of Noise: A Survey of Techniques and Applications
Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney +1
Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including…
cs.LG2024★ 10 cited
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
Mengchen Fan, Baocheng Geng, Keren Li +2
This paper introduces a representative-based approach for distributed learning that transforms multiple raw data points into a virtual representation. Unlike traditional distribute…