| Federated learning: Challenges, methods, and future directions T Li, AK Sahu, A Talwalkar, V Smith IEEE Signal Processing Magazine 37 (3), 50-60, 2020 | 390 | 2020 |
| Federated optimization in heterogeneous networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127, 2018 | 243 | 2018 |
| 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 | 49 | 2019 |
| Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing AK Sahu, S Kar IEEE Transactions on Signal Processing 64 (1), 89-103, 2015 | 42* | 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 | 41 | 2018 |
| 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 | 35 | 2019 |
| 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 | 29 | 2018 |
| Federated optimization for heterogeneous networks AK Sahu, T Li, M Sanjabi, M Zaheer, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127 1 (2), 3, 2018 | 25 | 2018 |
| 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 | 25 | 2016 |
| 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 |
| Towards gradient free and projection free stochastic optimization AK Sahu, M Zaheer, S Kar The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 18 | 2019 |
| 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 | 17 | 2019 |
| : A Distributed Random Fields Estimator AK Sahu, D Jakovetic, S Kar IEEE Transactions on Signal Processing 66 (18), 4980 - 4995, 2018 | 12 | 2018 |
| Communication optimality trade-offs for distributed estimation AK Sahu, D Jakovetic, S Kar arXiv preprint arXiv:1801.04050, 2018 | 11 | 2018 |
| Communication-efficient distributed strongly convex stochastic optimization: Non-asymptotic rates AK Sahu, D Jakovetic, D Bajovic, S Kar arXiv preprint arXiv:1809.02920, 2018 | 9 | 2018 |
| Black-box adversarial attacks with bayesian optimization SN Shukla, AK Sahu, D Willmott, JZ Kolter arXiv preprint arXiv:1909.13857, 2019 | 8 | 2019 |
| 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 | 7 | 2018 |
| CREDO: A communication-efficient distributed estimation algorithm AK Sahu, D Jakovetic, S Kar 2018 IEEE International Symposium on Information Theory (ISIT), 516-520, 2018 | 5 | 2018 |
| 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 | 5 | 2018 |
| 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 | 4 | 2018 |
Soummya KarElectrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
