Khanduri, Prashant, Sharma, Pranay, Yang, Haibo, Hong, Mingyi, Liu, Jia, Rajawat, Ketan, and Varshney, Pramod. STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. Retrieved from https://par.nsf.gov/biblio/10315978. Proceedings of Neural Information Processing Systems (NeurIPS), 2021. .

Khanduri, Prashant, Sharma, Pranay, Yang, Haibo, Hong, Mingyi, Liu, Jia, Rajawat, Ketan, & Varshney, Pramod. STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. Proceedings of Neural Information Processing Systems (NeurIPS), 2021., (). Retrieved from https://par.nsf.gov/biblio/10315978.

Khanduri, Prashant, Sharma, Pranay, Yang, Haibo, Hong, Mingyi, Liu, Jia, Rajawat, Ketan, and Varshney, Pramod. "STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning". Proceedings of Neural Information Processing Systems (NeurIPS), 2021. (). Country unknown/Code not available. https://par.nsf.gov/biblio/10315978.

@article{osti_10315978,
place = {Country unknown/Code not available}, title = {STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning}, url = {https://par.nsf.gov/biblio/10315978}, abstractNote = {}, journal = {Proceedings of Neural Information Processing Systems (NeurIPS), 2021.}, author = {Khanduri, Prashant and Sharma, Pranay and Yang, Haibo and Hong, Mingyi and Liu, Jia and Rajawat, Ketan and Varshney, Pramod}, }