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ORCIDAchintya Kundu
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Conference and Workshop Papers
- 2024
[c10]Achintya Kundu, Fabian Lim, Aaron Chew, Laura Wynter, Penny Chong, Rhui Dih Lee:
Efficiently Distilling LLMs for Edge Applications. NAACL (Industry Track) 2024: 52-62- 2023
- [c9]Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen:
Transfer-Once-For-All: AI Model Optimization for Edge. EDGE 2023: 26-35 - [c8]Luis Angel D. Bathen, Simeon Babatunde, Rhui Dih Lee, Achintya Kundu, Laura Wynter:
M3: Towards Efficient Mixed Machine Learning Model Co-Location on Constrained Edge Devices. MILCOM 2023: 39-44 - 2022
- [c7]Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE 2022: 1-11 - 2018
- [c6]Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya:
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. AISTATS 2018: i - 2012
- [c5]Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, Chiranjib Bhattacharyya, Sai Susarla, P. C. Nagesh:
LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace. HotStorage 2012 - 2010
- [c4]Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions. NIPS 2010: 1198-1206 - 2008
- [c3]Achintya Kundu, Saikat Chatterjee, Thippur V. Sreenivas:
Speech enhancement using intra-frame dependency in DCT domain. EUSIPCO 2008: 1-5 - [c2]Achintya Kundu
, Saikat Chatterjee, A. Sreenivasa Murthy, T. V. Sreenivas:
GMM based Bayesian approach to speech enhancement in signal / transform domain. ICASSP 2008: 4893-4896 - [c1]Achintya Kundu, Saikat Chatterjee, T. V. Sreenivas:
Subspace based speech enhancement using Gaussian mixture model. INTERSPEECH 2008: 395-398
Parts in Books or Collections
- 2022
- [p1]Pengqian Yu, Achintya Kundu, Laura Wynter, Shiau Hong Lim:
Personalized, Robust Federated Learning with Fed+. Federated Learning 2022: 99-123
Informal and Other Publications
- 2024
- [i3]Achintya Kundu, Fabian Lim, Aaron Chew, Laura Wynter, Penny Chong, Rhui Dih Lee:
Efficiently Distilling LLMs for Edge Applications. CoRR abs/2404.01353 (2024) - [i2]Achintya Kundu, Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti, Mayank Mishra:
Enhancing Training Efficiency Using Packing with Flash Attention. CoRR abs/2407.09105 (2024) - 2023
- [i1]Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen:
TOFA: Transfer-Once-for-All. CoRR abs/2303.15485 (2023)
Coauthor Index
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