Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Zhifeng Lin

Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments


Dec 07, 2019
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram

* 13 pages, Under submission 

  Access Paper or Ask Questions

Train Where the Data is: A Case for Bandwidth Efficient Coded Training


Oct 22, 2019
Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram

* 10 pages, Under submission 

  Access Paper or Ask Questions

Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models


Jun 05, 2019
Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

* 4 pages, CodML workshop at International Conference on Machine Learning (ICML 2019). arXiv admin note: text overlap with arXiv:1904.12222 

  Access Paper or Ask Questions

Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding


Apr 27, 2019
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

* 13 pages, 13 figures, Under submission 

  Access Paper or Ask Questions

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training


Nov 08, 2018
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr


  Access Paper or Ask Questions