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Anit Kumar Sahu
Anit Kumar Sahu
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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
43512020
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
41432020
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
1652019
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
1492019
Multiplicative filter networks
R Fathony, AK Sahu, D Willmott, JZ Kolter
International Conference on Learning Representations, 2020
1162020
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
1102019
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
662018
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
522018
Federated learning challenges and opportunities: An outlook
J Ding, E Tramel, AK Sahu, S Wu, S Avestimehr, T Zhang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
452022
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
452016
Distributed sequential detection for Gaussian shift-in-mean hypothesis testing
AK Sahu, S Kar
IEEE Transactions on Signal Processing 64 (1), 89-103, 2015
45*2015
Towards gradient free and projection free stochastic optimization
AK Sahu, M Zaheer, S Kar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
382019
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
372019
Federated optimization in heterogeneous networks. arXiv 2018
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2020
322020
Federated learning: challenges, methods, and future directions. CoRR
T Li, AK Sahu, A Talwalkar, V Smith
arXiv preprint arXiv:1908.07873, 2019
32*2019
Simple and efficient hard label black-box adversarial attacks in low query budget regimes
SN Shukla, AK Sahu, D Willmott, Z Kolter
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
302021
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
25*2017
Communication-efficient distributed strongly convex stochastic optimization: Non-asymptotic rates
AK Sahu, D Jakovetic, D Bajovic, S Kar
arXiv preprint arXiv:1809.02920, 2018
172018
Federated optimization in heterogeneous networks. arXiv
AK Sahu, T Li, M Sanjabi, M Zaheer, AS Talwalkar, V Smith
Learning 2 (4), 2020
162020
: A Distributed Random Fields Estimator
AK Sahu, D Jakovetić, S Kar
IEEE Transactions on Signal Processing 66 (18), 4980-4995, 2018
162018
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