Sotabase

Career

· Assistant Professor, Pennsylvania State University2022–
· Postdoc Researcher, Meta AI Research2021–2022
· PhD Student, Carnegie Mellon University2016–2021
· B.S. in Electrical and Computer Engineering, Seoul National University2016–

Publications (44)

Sustainable AI: Environmental Implications, Challenges and Opportunities
Conference on Machine Learning and Systems · 2021
553
cited
Alpaca: intermittent execution without checkpoints
Proc. ACM Program. Lang. · 2017
285
cited
Intermittent Computing: Challenges and Opportunities
Summit on Advances in Programming Languages · 2017
201
cited
Adaptive Dynamic Checkpointing for Safe Efficient Intermittent Computing
USENIX Symposium on Operating Systems Design and Implementation · 2018
182
cited
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters
International Conference on Architectural Support for Programming Languages and Operating Systems · 2022
150
cited
Supporting peripherals in intermittent systems with just-in-time checkpoints
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 2019
114
cited
Adaptive low-overhead scheduling for periodic and reactive intermittent execution
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 2020
78
cited
Dynamic Task-based Intermittent Execution for Energy-harvesting Devices
ACM Trans. Sens. Networks · 2020
70
cited
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
International Conference on Machine Learning · 2022
42
cited
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Conference on Machine Learning and Systems · 2020
41
cited
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
ACM Conference on Recommender Systems · 2022
38
cited
A Holistic Approach for Designing Carbon Aware Datacenters
arXiv.org · 2022
30
cited
Optimizing CPU Performance for Recommendation Systems At-Scale
International Symposium on Computer Architecture · 2023
30
cited
GPU-based Private Information Retrieval for On-Device Machine Learning Inference
International Conference on Architectural Support for Programming Languages and Operating Systems · 2023
18
cited
Green Federated Learning
arXiv.org · 2023
18
cited
Carbon Dependencies in Datacenter Design and Management
ACM SIGEnergy Energy Informatics Review · 2023
14
cited
Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference
arXiv.org · 2024
14
cited
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Neural Information Processing Systems · 2023
13
cited
An Architectural Charge Management Interface for Energy-Harvesting Systems
Micro · 2022
11
cited
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
arXiv.org · 2022
9
cited
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Kiwan Maeng | Researcher Profile | Sotabase | Sotabase