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Kiwan Maeng
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Sustainable ai: Environmental implications, challenges and opportunities
CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ...
Proceedings of Machine Learning and Systems 4, 795-813, 2022
4682022
Alpaca: Intermittent execution without checkpoints
K Maeng, A Colin, B Lucia
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-30, 2017
2902017
Intermittent computing: Challenges and opportunities
B Lucia, V Balaji, A Colin, K Maeng, E Ruppel
2nd Summit on Advances in Programming Languages (SNAPL 2017), 2017
2202017
Adaptive dynamic checkpointing for safe efficient intermittent computing
K Maeng, B Lucia
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
2072018
Supporting peripherals in intermittent systems with just-in-time checkpoints
K Maeng, B Lucia
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019
1132019
Carbon explorer: A holistic framework for designing carbon aware datacenters
B Acun, B Lee, F Kazhamiaka, K Maeng, U Gupta, M Chakkaravarthy, ...
Proceedings of the 28th ACM International Conference on Architectural …, 2023
1052023
Adaptive low-overhead scheduling for periodic and reactive intermittent execution
K Maeng, B Lucia
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
852020
Dynamic task-based intermittent execution for energy-harvesting devices
AY Majid, CD Donne, K Maeng, A Colin, KS Yildirim, B Lucia, ...
ACM Transactions on Sensor Networks (TOSN) 16 (1), 1-24, 2020
492020
Understanding and improving failure tolerant training for deep learning recommendation with partial recovery
K Maeng, S Bharuka, I Gao, M Jeffrey, V Saraph, BY Su, C Trippel, J Yang, ...
Proceedings of Machine Learning and Systems 3, 637-651, 2021
292021
Towards fair federated recommendation learning: Characterizing the inter-dependence of system and data heterogeneity
K Maeng, H Lu, L Melis, J Nguyen, M Rabbat, CJ Wu
Proceedings of the 16th ACM Conference on Recommender Systems, 156-167, 2022
262022
Cocktail party attack: Breaking aggregation-based privacy in federated learning using independent component analysis
S Kariyappa, C Guo, K Maeng, W Xiong, GE Suh, MK Qureshi, HHS Lee
International Conference on Machine Learning, 15884-15899, 2023
252023
Green federated learning
A Yousefpour, S Guo, A Shenoy, S Ghosh, P Stock, K Maeng, SW Krüger, ...
arXiv preprint arXiv:2303.14604, 2023
202023
Optimizing cpu performance for recommendation systems at-scale
R Jain, S Cheng, V Kalagi, V Sanghavi, S Kaul, M Arunachalam, K Maeng, ...
Proceedings of the 50th Annual International Symposium on Computer …, 2023
152023
An architectural charge management interface for energy-harvesting systems
E Ruppel, M Surbatovich, H Desai, K Maeng, B Lucia
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 318-335, 2022
152022
Carbon dependencies in datacenter design and management
B Acun, B Lee, F Kazhamiaka, A Sundarrajan, K Maeng, ...
ACM SIGENERGY Energy Informatics Review 3 (3), 21-26, 2023
112023
Fel: High capacity learning for recommendation and ranking via federated ensemble learning
M Hejazinia, D Huba, I Leontiadis, K Maeng, M Malek, L Melis, I Mironov, ...
arXiv preprint arXiv:2206.03852, 2022
72022
Gpu-based private information retrieval for on-device machine learning inference
M Lam, J Johnson, W Xiong, K Maeng, U Gupta, Y Li, L Lai, I Leontiadis, ...
arXiv preprint arXiv:2301.10904, 2023
62023
Measuring and controlling split layer privacy leakage using fisher information
K Maeng, C Guo, S Kariyappa, E Suh
arXiv preprint arXiv:2209.10119, 2022
62022
Information flow control in machine learning through modular model architecture
T Tiwari, S Gururangan, C Guo, W Hua, S Kariyappa, U Gupta, W Xiong, ...
33rd USENIX Security Symposium (USENIX Security 24), 6921-6938, 2024
52024
Bounding the invertibility of privacy-preserving instance encoding using fisher information
K Maeng, C Guo, S Kariyappa, GE Suh
Advances in Neural Information Processing Systems 36, 2024
42024
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Articles 1–20