Jinhyun So

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Top Venues

IEEE J. Sel. Areas Inf. Theory

IACR Cryptol. ePrint Arch.

IEEE J. Sel. Areas Commun.

Publications

Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". IEEE J. Sel. Areas Inf. Theory 5 (2024)
Jinhyun So, Hyukjoon Kwon
Universal Auto-encoder Framework for MIMO CSI Feedback. CoRR (2024)
Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. AAAI (2023)
Jinhyun So, Hyukjoon Kwon
Universal Auto-Encoder Framework for MIMO CSI Feedback. GLOBECOM (2023)
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR (2022)
Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys (2022)
Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. IACR Cryptol. ePrint Arch. 2021 (2021)
Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. CoRR (2021)
Jinhyun So, Basak Güler, Amir Salman Avestimehr
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Jinhyun So, Basak Güler, Amir Salman Avestimehr
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR (2021)
Jinhyun So, Ramy E. Ali, Basak Güler, Amir Salman Avestimehr
Secure Aggregation for Buffered Asynchronous Federated Learning. CoRR (2021)
Jinhyun So, Basak Güler, Amir Salman Avestimehr
Byzantine-Resilient Secure Federated Learning. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Jinhyun So, Mi Lu
Buffer-referred Data Prefetching: An Effective Approach to Coverage-Driven Prefetching. ICAC (2021)
Jinhyun So, Basak Güler, Salman Avestimehr
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. NeurIPS (2020)
Jinhyun So, Basak Guler, Amir Salman Avestimehr
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IACR Cryptol. ePrint Arch. 2020 (2020)
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
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR (2020)
Jinhyun So, Basak Guler, Amir Salman Avestimehr
Byzantine-Resilient Secure Federated Learning. CoRR (2020)
Jinhyun So, Basak Guler, Amir Salman Avestimehr
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. CoRR (2020)
Jinhyun So, Basak Guler, Amir Salman Avestimehr
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. CoRR (2020)
Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. CoRR (2020)
Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IACR Cryptol. ePrint Arch. 2019 (2019)
Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. CoRR (2019)
Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. CoRR (2018)
Jinhyun So, Sungho Choi, Seung Hyeok Ahn, Eui-Rim Jeong, Yong Hoon Lee
Digital predistortion based on envelope feedback. ICASSP (2012)