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Anit Kumar Sahu
Anit Kumar Sahu
Amazon
Verifisert e-postadresse på amazon.com - Startside
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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
63812020
Federated learning: Challenges, methods, and future directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE signal processing magazine 37 (3), 50-60, 2020
59062020
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
2022019
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
1972019
Multiplicative filter networks
R Fathony, AK Sahu, D Willmott, JZ Kolter
International Conference on Learning Representations, 2020
1682020
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
1282019
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
762022
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
762018
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
592018
Towards gradient free and projection free stochastic optimization
AK Sahu, M Zaheer, S Kar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
482019
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
482016
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
Black-box adversarial attacks with bayesian optimization
SN Shukla, AK Sahu, D Willmott, JZ Kolter
arXiv preprint arXiv:1909.13857, 2019
442019
Federated learning: challenges, methods, and future directions. CoRR
T Li, AK Sahu, A Talwalkar, V Smith
arXiv preprint arXiv:1908.07873, 2019
43*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
402021
Federated optimization in heterogeneous networks. arXiv 2018
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 1812
381812
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
282018
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
28*2017
Self-aware personalized federated learning
H Chen, J Ding, EW Tramel, S Wu, AK Sahu, S Avestimehr, T Zhang
Advances in Neural Information Processing Systems 35, 20675-20688, 2022
262022
Federated optimization in heterogeneous networks. arXiv
AK Sahu, T Li, M Sanjabi, M Zaheer, AS Talwalkar, V Smith
Learning 2 (4), 2020
252020
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Artikler 1–20