Abstract: Federated learning enables distributed machine learning while preserving privacy, yet it faces dual challenges of data heterogeneity and device resource constraints. In this paper, we ...
Abstract: Axial flow fans, as critical components within thermal power plant cooling systems, significantly influence power generation efficiency and operational safety integrity. To address the ...
DiFlow-TTS delivers low-latency, zero-shot text-to-speech through discrete flow matching and factorized speech tokens. It combines a compact token representation with a flow-based sampler to produce ...
This project is developed as part of EKT224 – Algorithm and Data Structures (Semester 1, 2020/2021). It is a C# Windows Forms application that manages a list of products (fruits) stored in a text file ...
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