Wang, Linnan, Wu, Wei, Zhang, Junyu, Liu, Hang, Bosilca, George, Herlihy, Maurice, and Fonseca, Rodrigo. FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. Retrieved from https://par.nsf.gov/biblio/10303998. HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing . Web. doi:10.1145/3369583.3392681.

Wang, Linnan, Wu, Wei, Zhang, Junyu, Liu, Hang, Bosilca, George, Herlihy, Maurice, & Fonseca, Rodrigo. FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, (). Retrieved from https://par.nsf.gov/biblio/10303998. https://doi.org/10.1145/3369583.3392681

Wang, Linnan, Wu, Wei, Zhang, Junyu, Liu, Hang, Bosilca, George, Herlihy, Maurice, and Fonseca, Rodrigo. "FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks". HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (). Country unknown/Code not available. https://doi.org/10.1145/3369583.3392681. https://par.nsf.gov/biblio/10303998.

@article{osti_10303998,
place = {Country unknown/Code not available}, title = {FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks}, url = {https://par.nsf.gov/biblio/10303998}, DOI = {10.1145/3369583.3392681}, abstractNote = {}, journal = {HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing}, author = {Wang, Linnan and Wu, Wei and Zhang, Junyu and Liu, Hang and Bosilca, George and Herlihy, Maurice and Fonseca, Rodrigo}, }