Kiwan Maeng
Cited by
Cited by
Alpaca: Intermittent execution without checkpoints
K Maeng, A Colin, B Lucia
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-30, 2017
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
Adaptive dynamic checkpointing for safe efficient intermittent computing
K Maeng, B Lucia
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
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
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
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
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
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
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
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
A holistic approach for designing carbon aware datacenters
B Acun, B Lee, K Maeng, M Chakkaravarthy, U Gupta, D Brooks, CJ Wu
arXiv preprint arXiv:2201.10036, 2022
GPU-based Private Information Retrieval for On-Device Machine Learning Inference
M Lam, J Johnson, W Xiong, K Maeng, U Gupta, M Rhu, HHS Lee, ...
arXiv preprint arXiv:2301.10904, 2023
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
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
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
Green Federated Learning
A Yousefpour, S Guo, A Shenoy, S Ghosh, P Stock, K Maeng, SW Krüger, ...
arXiv preprint arXiv:2303.14604, 2023
Carbon Dependencies in Datacenter Design and Management
B Acun, B Lee, F Kazhamiaka, A Sundarrajan, K Maeng, ...
HotCarbon, 2022
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
K Maeng, C Guo, S Kariyappa, GE Suh
arXiv preprint arXiv:2305.04146, 2023
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
K Maeng, C Guo, S Kariyappa, E Suh
arXiv preprint arXiv:2209.10119, 2022
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
K Maeng, GE Suh
arXiv preprint arXiv:2309.04875, 2023
The system can't perform the operation now. Try again later.
Articles 1–20