Krishna Narra

According to our database, Krishna Narra authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Training Differentially Private Ad Prediction Models with Semi-Sensitive Features.

Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang

CoRR, 2024

2023

Private Ad Modeling with DP-SGD.

Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang

Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023

2021

Origami Inference: Private Inference Using Hardware Enclaves.

Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems.

Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

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

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

CoRR, 2019

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

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

CoRR, 2019

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

Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram

CoRR, 2019

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

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

CoRR, 2019

Distributed Matrix Multiplication Using Speed Adaptive Coding.

Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Slack squeeze coded computing for adaptive straggler mitigation.

Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

Proceedings of the International Conference for High Performance Computing, 2019

2018

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

Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Summarizer: trading communication with computing near storage.

Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017