Jinhyun So

Orcid: 0000-0002-5592-0248

According to our database1, Jinhyun So authored at least 21 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models.
CoRR, April, 2026

AROMMA: Unifying Olfactory Embeddings for Single Molecules and Mixtures.
CoRR, January, 2026

2024
Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning".
IEEE J. Sel. Areas Inf. Theory, 2024

LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning.
IEEE J. Sel. Areas Inf. Theory, 2024

2023
Universal Auto-Encoder Framework for MIMO CSI Feedback.
Proceedings of the IEEE Global Communications Conference, 2023

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations.
CoRR, 2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning.
IEEE J. Sel. Areas Inf. Theory, 2021

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.
IEEE J. Sel. Areas Inf. Theory, 2021

Byzantine-Resilient Secure Federated Learning.
IEEE J. Sel. Areas Commun., 2021

Secure Aggregation for Buffered Asynchronous Federated Learning.
CoRR, 2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning.
CoRR, 2021

Buffer-referred Data Prefetching: An Effective Approach to Coverage-Driven Prefetching.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2020
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks.
CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.
CoRR, 2020

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning.
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.
IACR Cryptol. ePrint Arch., 2019

2018
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy.
CoRR, 2018

2013
Comparison of Cat Swarm Optimization with particle swarm optimization for IIR system identification.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Digital predistortion based on envelope feedback.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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