Yonglak Son

According to our database, Yonglak Son authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Characterizing Carbon Cost of Federated Learning.

Yonglak Son, Chanwoo Cho, Seongbin Park, Young Seo Lee, Younggeun Kim

IEEE Comput. Archit. Lett., 2026

2025

CorGi: Contribution-Guided Block-Wise Interval Caching for Training-Free Acceleration of Diffusion Transformers.

Yonglak Son, Suhyeok Kim, Seungryong Kim, Young Geun Kim

CoRR, December, 2025

GreenScale: Carbon Optimization for Edge Computing.

Yonglak Son, Udit Gupta, Andrew McCrabb, Young-geun Kim, Valeria Bertacco, David Brooks, Carole-Jean Wu

IEEE Internet Things J., August, 2025

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models.

Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models.

Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim

CoRR, 2024

CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients.

Chanwoo Cho, Yonglak Son, Seongbin Park, Young Geun Kim

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

2023

GreenScale: Carbon-Aware Systems for Edge Computing.

Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu

CoRR, 2023