Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alharthi, Khalid Ayed"'
Publikováno v:
IJCAI 2024: the 33rd International Joint Conference on Artificial Intelligence
Federated learning has been identified as an efficient decentralized training paradigm for scaling the machine learning model training on a large number of devices while guaranteeing the data privacy of the trainers. FedAvg has become a foundational
Externí odkaz:
http://arxiv.org/abs/2404.11015
Autor:
Di, Sheng, Liu, Jinyang, Zhao, Kai, Liang, Xin, Underwood, Robert, Zhang, Zhaorui, Shah, Milan, Huang, Yafan, Huang, Jiajun, Yu, Xiaodong, Ren, Congrong, Guo, Hanqi, Wilkins, Grant, Tao, Dingwen, Tian, Jiannan, Jin, Sian, Jian, Zizhe, Wang, Daoce, Rahman, MD Hasanur, Zhang, Boyuan, Calhoun, Jon C., Li, Guanpeng, Yoshii, Kazutomo, Alharthi, Khalid Ayed, Cappello, Franck
Error-bounded lossy compression has been effective in significantly reducing the data storage/transfer burden while preserving the reconstructed data fidelity very well. Many error-bounded lossy compressors have been developed for a wide range of par
Externí odkaz:
http://arxiv.org/abs/2404.02840
Autor:
ALHARTHI, KHALID AYED B
As time passes, the web continues to grow and become more beneficial for people all around the world. However, all the intelligent tasks are still done by humans such as aggregating, linking, and reasoning. The Inventor of the web, Tim Berners-Lee, h
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=kent1367064711