| Federated learning based on dynamic regularization DAE Acar, Y Zhao, RM Navarro, M Mattina, PN Whatmough, V Saligrama 2021 International Conference on Learning Representations (ICLR), 2021 | 1324 | 2021 |
| Debiasing Model Updates for Improving Personalized Federated Training DAE Acar, Y Zhao, R Zhu, R Matas, M Mattina, P Whatmough, ... International Conference on Machine Learning, 21-31, 2021 | 98 | 2021 |
| Shallow RNNs: a method for accurate time-series classification on tiny devices DK Dennis, DAE Acar, V Mandikal, V Sadasivan, H Simhadri, V Saligrama, ... Advances in Neural Information Processing Systems, 2019 | 64* | 2019 |
| Memory efficient online meta learning DAE Acar, R Zhu, V Saligrama International Conference on Machine Learning, 32-42, 2021 | 31 | 2021 |
| Diode-pumped continuous-wave and femtosecond Cr: LiCAF lasers with high average power in the near infrared, visible and near ultraviolet U Demirbas, I Baali, DAE Acar, A Leitenstorfer Optics Express 23 (7), 8901-8909, 2015 | 21 | 2015 |
| Continuous-wave, quasi-continuous-wave, gain-switched, and femtosecond burst-mode operation of multi-mode diode-pumped Cr: LiSAF lasers U Demirbas, DAE Acar Journal of the Optical Society of America B 33 (10), 2105-2113, 2016 | 18 | 2016 |
| Budget learning via bracketing DAE Acar, A Gangrade, V Saligrama International Conference on Artificial Intelligence and Statistics, 4109-4119, 2020 | 15 | 2020 |
| Cost aware inference for iot devices P Zhu, DAE Acar, N Feng, P Jain, V Saligrama The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 15 | 2019 |
| Predicting clinical outcomes in neuroblastoma with genomic data integration I Baali, DAE Acar, TW Aderinwale, S HafezQorani, H Kazan Biology Direct 13 (1), 20, 2018 | 15 | 2018 |
| Faster algorithms for learning convex functions A Siahkamari, DAE Acar, C Liao, KL Geyer, V Saligrama, B Kulis International Conference on Machine Learning, 20176-20194, 2022 | 10* | 2022 |
| Scaffolding a Student to Instill Knowledge A Kag, DAE Acar, A Gangrade, V Saligrama International Conference on Learning Representations, 2023 | 8 | 2023 |
| Fedhen: Federated learning in heterogeneous networks DAE Acar, V Saligrama arXiv preprint arXiv:2207.03031, 2022 | 3 | 2022 |
| Towards federated learning with on-device training and communication in 8-bit floating point B Wang, A Berg, DAE Acar, C Zhou arXiv preprint arXiv:2407.02610, 2024 | 2 | 2024 |
| Reduced precision neural federated learning C Zhou, DAE Acar, B Wang US Patent App. 18/633,324, 2025 | | 2025 |
| Learning with constraints on processing and supervision DAE Acar Boston University, 2023 | | 2023 |
| Power and efficiency scaling of diode pumped Cr: LiSAF lasers U Demibas, DAE Acar, I Baali 2017 Conference on Lasers and Electro-Optics Europe & European Quantum …, 2017 | | 2017 |
| High-Power, Femtosecond Cr: LiCAF Lasers Pumped by Multimode Diodes U Demirbas, I Baali, DAE Acar, A Leitenstorfer The European Conference on Lasers and Electro-Optics, CF_4_4, 2015 | | 2015 |
| High-power, continuous-wave Cr: colquiriite lasers pumped by multi-mode diodes U Demirbas, I Baali, DAE Acar, A Leitenstorfer Conference on Lasers and Electro-Optics, SM3F. 5, 2014 | | 2014 |
