In packet erasure networks, federated learning (FL) typically suffers more prohibitive communication overhead from massive retransmissions of high-dimensional gradients. As a result, recent studies ...

Abstract: Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to ...

RDVQ is a VQ-based generative image compression framework for efficient and controllable ultra-low-bitrate image compression. Conventional VQ-VAE learns powerful discrete representations, but its ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

这项由腾讯混元视觉团队、清华大学、南洋理工大学及中国科学院联合完成的研究，以预印本形式发布于2026年6月25日，论文编号为arXiv:2606.27313，感兴趣的读者可通过该编号查询完整论文。

Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...