So, Jinhyun, Guler, Basak, and Avestimehr, A. Salman. CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. Retrieved from https://par.nsf.gov/biblio/10223588. IEEE Journal on Selected Areas in Information Theory 2.1 Web. doi:10.1109/JSAIT.2021.3053220.

So, Jinhyun, Guler, Basak, & Avestimehr, A. Salman. CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IEEE Journal on Selected Areas in Information Theory, 2 (1). Retrieved from https://par.nsf.gov/biblio/10223588. https://doi.org/10.1109/JSAIT.2021.3053220

So, Jinhyun, Guler, Basak, and Avestimehr, A. Salman. "CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning". IEEE Journal on Selected Areas in Information Theory 2 (1). Country unknown/Code not available. https://doi.org/10.1109/JSAIT.2021.3053220. https://par.nsf.gov/biblio/10223588.

@article{osti_10223588,
place = {Country unknown/Code not available}, title = {CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning}, url = {https://par.nsf.gov/biblio/10223588}, DOI = {10.1109/JSAIT.2021.3053220}, abstractNote = {}, journal = {IEEE Journal on Selected Areas in Information Theory}, volume = {2}, number = {1}, author = {So, Jinhyun and Guler, Basak and Avestimehr, A. Salman}, editor = {null} }