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Avishek Ghosh
Avishek Ghosh
Assistant Professor, Dept. of Computer Science & Engg., IIT Bombay
iitb.ac.in의 이메일 확인됨 - 홈페이지
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An Efficient Framework for Clustered Federated Learning
A Ghosh, J Chung, D Yin, K Ramchandran
Neural Information Processing Systems (NeurIPS), 2020 (short version in ICML …, 2020
9512020
Robust Federated Learning in a Heterogeneous Environment
A Ghosh, J Hong, D Yin, K Ramchandran
ICML 2019 workshop on Privacy and Security, 1-30, 2019
2872019
An efficient framework for clustered federated learning
A Ghosh, J Chung, D Yin, K Ramchandran
IEEE Transactions on Information Theory 68 (12), 8076-8091, 2022
1412022
Misspecified Linear Bandits
A Ghosh, S Ray Chowdhury, A Gopalan
Thirty-First AAAI Conference on Artificial Intelligence, 2017
742017
Distributed Newton Can Communicate Less and Resist Byzantine Workers
A Ghosh, RK Maity, A Mazumdar
Neural Information Processing Systems (NeurIPS), 2020 (short version in ICML …, 2020
402020
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
A Ghosh, A Sankararaman, K Ramchandran
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
362021
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
IEEE Transactions on Information Theory; Preprint: http://arxiv.org/abs/1906 …, 2019
332019
Multi-robot cooperative box-pushing problem using multi-objective particle swarm optimization Technique
A Ghosh, A Ghosh, A Konar, R Janarthanan
Information and Communication Technologies (WICT), 2012 World Congress on …, 2012
322012
Alternating Minimization Converges Super-linearly for Mixed Linear Regression
A Ghosh, K Ramchandran
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
302020
Communication-efficient and byzantine-robust distributed learning with error feedback
A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran
IEEE Journal on Selected Areas in Information Theory 2 (3), 942-953, 2021
292021
Communication Efficient Distributed Approximate Newton Method
A Ghosh, RK Maity, A Mazumdar, K Ramchandran
IEEE International Symposium on Information Theory (ISIT), 2020, 2020
282020
Max-affine regression: Parameter estimation for Gaussian designs
A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
IEEE Transactions on Information Theory 68 (3), 1851-1885, 2021
262021
Communication-efficient and byzantine-robust distributed learning
A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran
Preprint: https://arxiv.org/pdf/1911.09721.pdf (short version in 2020 ITA), 2021
242021
A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem
A Chowdhury, A Ghosh, S Sinha, S Das, A Ghosh
International Journal of Bio-Inspired Computation 5 (5), 303-314, 2013
232013
LocalNewton: Reducing Communication Bottleneck for Distributed Learning
V Gupta, A Ghosh, M Derezinski, R Khanna, K Ramchandran, M Mahoney
Preprint: https://arxiv.org/pdf/2105.07320.pdf, 2021
162021
Communication Efficient and Byzantine Tolerant Distributed Learning
A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran
IEEE International Symposium on Information Theory (ISIT), 2020, 2020
162020
On learning mixture of linear regressions in the non-realizable setting
A Ghosh, A Mazumdar, S Pal, R Sen
International Conference on Machine Learning, 17202-17220, 2022
142022
Understanding and Control of Zener Pinning via Phase Field and Ensemble Learning
S Manna, H Chan, A Ghosh, T Chakraborti, S Sankaranarayanan
Computational Materials Science, 2023
132023
Competing Bandits in Non-Stationary Matching Markets
A Ghosh, A Sankararaman, K Ramchandran, T Javidi, A Mazumdar
IEEE Transactions on Information Theory, 2024
11*2024
Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits
A Ghosh, A Sankararaman, K Ramchandran
European Conference on Machine Learning (ECML-PKDD 2022), arXiv Preprint …, 2022
102022
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