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Anit Kumar Sahu
Anit Kumar Sahu
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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
16762020
Federated optimization in heterogeneous networks
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
Proceedings of Machine Learning and Systems 2, 429-450, 2020
1308*2020
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
932019
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
752019
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
592019
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
492018
Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing
AK Sahu, S Kar
IEEE Transactions on Signal Processing 64 (1), 89-103, 2015
46*2015
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
392018
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
342016
Towards gradient free and projection free stochastic optimization
AK Sahu, M Zaheer, S Kar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
262019
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
242019
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
21*2017
MULTIPLICATIVE FILTER NETWORKS
R Fathony, AK Sahu, D Willmott, JZ Kolter
International Conference on Learning Representations, 2021
172021
Federated learning: challenges, methods, and future directions. CoRR
T Li, AK Sahu, A Talwalkar, V Smith
arXiv preprint arXiv:1908.07873 3, 2019
15*2019
: A Distributed Random Fields Estimator
AK Sahu, D Jakovetic, S Kar
IEEE Transactions on Signal Processing 66 (18), 4980 - 4995, 2018
152018
Communication-efficient distributed strongly convex stochastic optimization: Non-asymptotic rates
AK Sahu, D Jakovetic, D Bajovic, S Kar
arXiv preprint arXiv:1809.02920, 2018
142018
Federated learning: Challenges, methods, and future directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE Signal Processing Magazine 37 (3), 50-60, 2020
11*2020
Communication optimality trade-offs for distributed estimation
AK Sahu, D Jakovetic, S Kar
arXiv preprint arXiv:1801.04050, 2018
112018
On the convergence of federated optimization in heterogeneous networks
T Li, AK Sahu, M Sanjabi, M Zaheer, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
102018
Federated optimization in heterogeneous networks, 2018
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
URL https://arxiv. org/abs, 1812
101812
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