Anit Kumar Sahu
Anit Kumar Sahu
Amazon Alexa AI
Verified email at alumni.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Federated learning: Challenges, methods, and future directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE Signal Processing Magazine 37 (3), 50-60, 2020
6532020
Federated optimization in heterogeneous networks
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
4622018
Distributed stochastic optimization with gradient tracking over strongly-connected networks
R Xin, AK Sahu, UA Khan, S Kar
2019 IEEE 58th Conference on Decision and Control (CDC), 8353-8358, 2019
552019
Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing
AK Sahu, S Kar
IEEE Transactions on Signal Processing 64 (1), 89-103, 2015
44*2015
Convergence rates for distributed stochastic optimization over random networks
D Jakovetic, D Bajovic, AK Sahu, S Kar
2018 IEEE Conference on Decision and Control (CDC), 4238-4245, 2018
432018
Matcha: Speeding up decentralized sgd via matching decomposition sampling
J Wang, AK Sahu, Z Yang, G Joshi, S Kar
2019 Sixth Indian Control Conference (ICC), 299-300, 2019
422019
Distributed zeroth order optimization over random networks: A Kiefer-Wolfowitz stochastic approximation approach
AK Sahu, D Jakovetic, D Bajovic, S Kar
2018 IEEE Conference on Decision and Control (CDC), 4951-4958, 2018
342018
Feddane: A federated newton-type method
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smithy
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1227-1231, 2019
282019
Distributed constrained recursive nonlinear least-squares estimation: Algorithms and asymptotics
AK Sahu, S Kar, JMF Moura, HV Poor
IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016
252016
Towards gradient free and projection free stochastic optimization
AK Sahu, M Zaheer, S Kar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
232019
Recursive distributed detection for composite hypothesis testing: Nonlinear observation models in additive gaussian noise
AK Sahu, S Kar
IEEE Transactions on Information Theory 63 (8), 4797-4828, 2017
20*2017
: A Distributed Random Fields Estimator
AK Sahu, D Jakovetic, S Kar
IEEE Transactions on Signal Processing 66 (18), 4980 - 4995, 2018
142018
Communication-efficient distributed strongly convex stochastic optimization: Non-asymptotic rates
AK Sahu, D Jakovetic, D Bajovic, S Kar
arXiv preprint arXiv:1809.02920, 2018
122018
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
112019
Communication optimality trade-offs for distributed estimation
AK Sahu, D Jakovetic, S Kar
arXiv preprint arXiv:1801.04050, 2018
112018
Federated learning: challenges, methods, and future directions. CoRR
T Li, AK Sahu, A Talwalkar, V Smith
arXiv preprint arXiv:1908.07873, 2019
72019
Data-driven thermal model inference with armax, in smart environments, based on normalized mutual information
Z Jiang, J Francis, AK Sahu, S Munir, C Shelton, A Rowe, M Bergés
2018 Annual American Control Conference (ACC), 4634-4639, 2018
72018
CREDO: A communication-efficient distributed estimation algorithm
AK Sahu, D Jakovetic, S Kar
2018 IEEE International Symposium on Information Theory (ISIT), 516-520, 2018
52018
Hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:2007.07210, 2020
42020
Communication efficient distributed weighted non-linear least squares estimation
AK Sahu, D Jakovetic, D Bajovic, S Kar
EURASIP Journal on Advances in Signal Processing 2018 (1), 1-15, 2018
42018
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