%0 Conference Paper %1 conf/eurosys/Truex0CGW20 %A Truex, Stacey %A Liu, Ling %A Chow, Ka Ho %A Gursoy, Mehmet Emre %A Wei, Wenqi %B EdgeSys@EuroSys %D 2020 %E Ding, Aaron Yi %E Mortier, Richard %I ACM %K dblp %P 61-66 %T LDP-Fed: federated learning with local differential privacy. %U http://dblp.uni-trier.de/db/conf/eurosys/edgesys2020.html#Truex0CGW20 %@ 978-1-4503-7132-2

@inproceedings{conf/eurosys/Truex0CGW20, added-at = {2020-05-25T00:00:00.000+0200}, author = {Truex, Stacey and Liu, Ling and Chow, Ka Ho and Gursoy, Mehmet Emre and Wei, Wenqi}, biburl = {https://www.bibsonomy.org/bibtex/285fcca0124e9afb342ea8a47bedfa1c9/dblp}, booktitle = {EdgeSys@EuroSys}, crossref = {conf/eurosys/2020edgesys}, editor = {Ding, Aaron Yi and Mortier, Richard}, ee = {https://doi.org/10.1145/3378679.3394533}, interhash = {7cb71068bf83d25e13b47f9bca0a3b3c}, intrahash = {85fcca0124e9afb342ea8a47bedfa1c9}, isbn = {978-1-4503-7132-2}, keywords = {dblp}, pages = {61-66}, publisher = {ACM}, timestamp = {2020-05-26T11:54:04.000+0200}, title = {LDP-Fed: federated learning with local differential privacy.}, url = {http://dblp.uni-trier.de/db/conf/eurosys/edgesys2020.html#Truex0CGW20}, year = 2020 }