Jinhyun So

According to our database, Jinhyun So authored at least 16 papers between 2012 and 2023.

Collaborative distances:

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

2023

Universal Auto-Encoder Framework for MIMO CSI Feedback.

Jinhyun So, Hyukjoon Kwon

Proceedings of the IEEE Global Communications Conference, 2023

2022

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations.

Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra

CoRR, 2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr

Proceedings of Machine Learning and Systems 2022, 2022

2021

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Inf. Theory, 2021

Byzantine-Resilient Secure Federated Learning.

Jinhyun So, Basak Güler, Amir Salman Avestimehr

IEEE J. Sel. Areas Commun., 2021

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning.

Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr

IACR Cryptol. ePrint Arch., 2021

Secure Aggregation for Buffered Asynchronous Federated Learning.

Jinhyun So, Ramy E. Ali, Basak Güler, Amir Salman Avestimehr

CoRR, 2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning.

Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr

CoRR, 2021

Buffer-referred Data Prefetching: An Effective Approach to Coverage-Driven Prefetching.

Jinhyun So, Mi Lu

Proceedings of the 26th International Conference on Automation and Computing, 2021

2020

On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks.

Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr

CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

CoRR, 2020

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning.

Jinhyun So, Basak Güler, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.

Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel

IACR Cryptol. ePrint Arch., 2019

2018

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy.

Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr

CoRR, 2018

2012

Digital predistortion based on envelope feedback.

Jinhyun So, Sungho Choi, Seung Hyeok Ahn, Eui-Rim Jeong, Yong Hoon Lee

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012