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 | 468 | 2022 |
Alpaca: Intermittent execution without checkpoints K Maeng, A Colin, B Lucia Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-30, 2017 | 290 | 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 | 220 | 2017 |
Adaptive dynamic checkpointing for safe efficient intermittent computing K Maeng, B Lucia 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018 | 207 | 2018 |
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 | 113 | 2019 |
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 | 105 | 2023 |
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 | 85 | 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 | 49 | 2020 |
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 | 29 | 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 | 26 | 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 | 25 | 2023 |
Green federated learning A Yousefpour, S Guo, A Shenoy, S Ghosh, P Stock, K Maeng, SW Krüger, ... arXiv preprint arXiv:2303.14604, 2023 | 20 | 2023 |
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 | 15 | 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 | 15 | 2022 |
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 | 11 | 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 | 7 | 2022 |
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 | 6 | 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 | 6 | 2022 |
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 | 5 | 2024 |
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 | 4 | 2024 |