%0 Journal Article %1 journals/concurrency/NieZDOL24 %A Nie, Chenfei %A Zhou, Zhipeng %A Dong, Mianxiong %A Ota, Kaoru %A Li, Qiang %D 2024 %J Concurr. Comput. Pract. Exp. %K dblp %N 14 %T EPIDL: Towards efficient and privacy-preserving inference in deep learning. %U http://dblp.uni-trier.de/db/journals/concurrency/concurrency36.html#NieZDOL24 %V 36

@article{journals/concurrency/NieZDOL24, added-at = {2024-06-18T00:00:00.000+0200}, author = {Nie, Chenfei and Zhou, Zhipeng and Dong, Mianxiong and Ota, Kaoru and Li, Qiang}, biburl = {https://www.bibsonomy.org/bibtex/2dd862338cfd728162afa862bbe7e09de/dblp}, ee = {https://doi.org/10.1002/cpe.8110}, interhash = {66aeba0e04d4346e9eaa9675cf96bd5c}, intrahash = {dd862338cfd728162afa862bbe7e09de}, journal = {Concurr. Comput. Pract. Exp.}, keywords = {dblp}, month = {June}, number = 14, timestamp = {2024-06-24T07:06:06.000+0200}, title = {EPIDL: Towards efficient and privacy-preserving inference in deep learning.}, url = {http://dblp.uni-trier.de/db/journals/concurrency/concurrency36.html#NieZDOL24}, volume = 36, year = 2024 }