DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing

no code implementations • 13 Nov 2023 • Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang

Assigning varying compression ratios to workers with distinct data distributions and volumes is thus a promising solution.

Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs

no code implementations • 18 May 2023 • Giorgi Kokaia, Pratyush Sinha, Yutong Jiang, Nozha Boujemaa

Self-contextualizing QA leverages Tree-Search to enable the model to create its own context using a wide range of information relevant to the prompt, evaluate it explicitly and return a open book answer to the initial prompt .

Informativeness Question Answering

Rapid focus map surveying for whole slide imaging with continues sample motion

no code implementations • 6 Jul 2017 • Jun Liao, Yutong Jiang, Zichao Bian, Bahareh Mahrou, Aparna Nambiar, Alexander W. Magsam, Kaikai Guo, Yong Ku Cho, Guoan Zheng

For each focus point on the map, sample needs to be static in the x-y plane and axial scanning is needed to maximize the contrast.