IntSGD: Adaptive Floatless Compression of Stochastic Gradients

16 February 2021

Papers citing "IntSGD: Adaptive Floatless Compression of Stochastic Gradients"

4 / 4 papers shown

Title
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 30 9 0 14 Jan 2023
Adaptive Compression for Communication-Efficient Distributed Training Maksim Makarenko Elnur Gasanov Rustem Islamov Abdurakhmon Sadiev Peter Richtárik 33 12 0 31 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021