متابعة
Aritra Dutta
Aritra Dutta
Assistant Professor, University of Central Florida
بريد إلكتروني تم التحقق منه على ucf.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
GRACE: A compressed communication framework for distributed machine learning‏
H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ...‏
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021‏
1042021
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning‏
A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ...‏
AAAI-20 - Thirty-fourth AAAI Conference on Artificial Intelligence 34 (4 …, 2020‏
1012020
Compressed communication for distributed deep learning: Survey and quantitative evaluation‏
H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ...‏
932020
Rethinking gradient sparsification as total error minimization‏
A Sahu, A Dutta, A M Abdelmoniem, T Banerjee, M Canini, P Kalnis‏
Advances in Neural Information Processing Systems 34, 8133-8146, 2021‏
672021
Deepreduce: A sparse-tensor communication framework for federated deep learning‏
H Xu, K Kostopoulou, A Dutta, X Li, A Ntoulas, P Kalnis‏
Advances in Neural Information Processing Systems 34, 21150-21163, 2021‏
452021
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning‏
RR Gajjala, S Banchhor, AM Abdelmoniem, A Dutta, M Canini, P Kalnis‏
Proceedings of ACM CoNEXT'20: 1st Workshop on Distributed Machine Learning …, 2020‏
392020
Fast Detection of Compressively-Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters‏
B Millikan, A Dutta, Q Sun, H Foroosh‏
IEEE Transactions on Aerospace and Electronic Systems 53 (5), 2449-2461, 2017‏
23*2017
On a Problem of Weighted Low Rank Approximation of Matrices‏
A Dutta, X Li‏
SIAM Journal on Matrix Analysis and Applications 38 (2), 530-553, 2017‏
222017
A Nonconvex Projection Method for Robust PCA‏
A Dutta, F Hanzely, P Richtárik‏
AAAI-19 - Thirty-Third AAAI Conference on Artificial Intelligence, 2019‏
202019
Initialized Iterative Reweighted Least Squares for Automatic Target Recognition‏
B Millikan, A Dutta, N Rahnavard, Q Sun, H Foroosh‏
MILCOM 2015 - In proceedings of IEEE Military Communications Conference 2015 …, 2015‏
172015
Weighted low rank approximation for background estimation problems‏
A Dutta, X Li‏
ICCVW-2017-IEEE International Conference on Computer Vision Workshops (ICCVW), 2017‏
162017
Weighted low-rank approximation of matrices and background modeling‏
A Dutta, X Li, P Richtárik‏
arXiv preprint arXiv:1804.06252, 2018‏
152018
Weighted Singular Value Thresholding and its Applications to Background Estimation‏
A Dutta, B Gong, X Li, M Shah‏
142017
Shrinkage Function And Its Applications In Matrix Approximation‏
T Boas, A Dutta, X Li, K Mercier, E Niderman‏
Electronic Journal of Linear Algebra 32, 163–171, 2017‏
132017
A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices‏
A Dutta, X Li, P Richtarik‏
ICCVW 2017- IEEE International Conference on Computer Vision Workshops (ICCVW), 2017‏
122017
Weighted Low-Rank Approximation of Matrices: Some Analytical and Numerical Aspects‏
A Dutta‏
Ph.D. Dissertation, Department of Mathematics, University of Central Florida., 2017‏
122017
Personalized Federated Learning with Communication Compression‏
E Bergou, KP Burlachenko, A Dutta, P Richtárik‏
Transactions on Machine Learning Research, 2023‏
112023
DeepReduce: A sparse-tensor communication framework for distributed deep learning‏
K Kostopoulou, H Xu, A Dutta, X Li, A Ntoulas, P Kalnis‏
arXiv preprint arXiv:2102.03112, 2021‏
112021
A Fast Algorithm for a Weighted Low-Rank Approximation‏
A Dutta, X Li‏
International Association for Pattern Recognition (IAPR) conference on …, 2017‏
112017
Online and Batch Supervised Background Estimation via L1 Regression‏
A Dutta, P Richtarik‏
WACV 2019 – IEEE Winter Conference on the Applications of Computer Vision …, 2019‏
92019
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مقالات 1–20