| GMM based Bayesian approach to speech enhancement in signal/transform domain A Kundu, S Chatterjee, AS Murthy, TV Sreenivas 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 58 | 2008 |
| Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach A Kundu, F Bach, C Bhattacharya International Conference on Artificial Intelligence and Statistics, 958-967, 2018 | 20 | 2018 |
| LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace. P Pipada, A Kundu, K Gopinath, C Bhattacharyya, S Susarla, PC Nagesh HotStorage 12, 2012 | 15 | 2012 |
| Fed+: A unified approach to robust personalized federated learning P Yu, A Kundu, L Wynter, SH Lim arXiv preprint arXiv:2009.06303, 2020 | 12 | 2020 |
| Robustness and personalization in federated learning: A unified approach via regularization A Kundu, P Yu, L Wynter, SH Lim 2022 IEEE International Conference on Edge Computing and Communications …, 2022 | 10 | 2022 |
| Speech enhancement using intra-frame dependency in DCT domain A Kundu, S Chatterjee, TV Sreenivas 2008 16th European Signal Processing Conference, 1-5, 2008 | 10 | 2008 |
| Subspace based speech enhancement using Gaussian mixture model. A Kundu, S Chatterjee, TV Sreenivas INTERSPEECH, 395-398, 2008 | 6 | 2008 |
| Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions A Kundu, V Tankasali, C Bhattacharyya, A Ben-Tal Advances in Neural Information Processing Systems, 1198-1206, 2010 | 5 | 2010 |
| Transfer-once-for-all: Ai model optimization for edge A Kundu, L Wynter, RD Lee, LA Bathen 2023 IEEE International Conference on Edge Computing and Communications …, 2023 | 2 | 2023 |
| TOFA: Transfer-Once-for-All A Kundu, L Wynter, RD Lee, LA Bathen arXiv preprint arXiv:2303.15485, 2023 | 1 | 2023 |
| Personalized, Robust Federated Learning with Fed+ P Yu, A Kundu, L Wynter, SH Lim Federated Learning: A Comprehensive Overview of Methods and Applications, 99-123, 2022 | 1 | 2022 |
| Efficiently Distilling LLMs for Edge Applications A Kundu, F Lim, A Chew, L Wynter, P Chong, RD Lee arXiv preprint arXiv:2404.01353, 2024 | | 2024 |
| M3: Towards Efficient Mixed Machine Learning Model Co-Location on Constrained Edge Devices LAD Bathen, S Babatunde, RD Lee, A Kundu, L Wynter MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 39-44, 2023 | | 2023 |
| Novel First-order Algorithms for Non-smooth Optimization Problems in Machine Learning A Kundu | | 2022 |
| 2022 IEEE International Conference on Edge Computing and Communications (EDGE)| 978-1-6654-8140-3/22/$31.00© 2022 IEEE| DOI: 10.1109/EDGE55608. 2022.00036 R Aburukba, AR Al-Ali, M Albano, M Al-Naday, Y AlZahrani, A Ba, ... | | |
