Peer-to-peer federated learning on graphs A Lalitha, OC Kilinc, T Javidi, F Koushanfar arXiv preprint arXiv:1901.11173, 2019 | 222 | 2019 |
Fully decentralized federated learning A Lalitha, S Shekhar, T Javidi, F Koushanfar Third workshop on bayesian deep learning (NeurIPS) 2, 2018 | 185 | 2018 |
Social learning and distributed hypothesis testing A Lalitha, T Javidi, AD Sarwate IEEE Transactions on Information Theory 64 (9), 6161-6179, 2018 | 184 | 2018 |
Decentralized Bayesian learning over graphs A Lalitha, X Wang, O Kilinc, Y Lu, T Javidi, F Koushanfar arXiv preprint arXiv:1905.10466, 2019 | 27 | 2019 |
Improved target acquisition rates with feedback codes A Lalitha, N Ronquillo, T Javidi IEEE Journal of Selected Topics in Signal Processing 12 (5), 871-885, 2018 | 21 | 2018 |
Power-optimal scheduling for a green base station with delay constraints A Lalitha, S Mondal, S Kumar, V Sharma 2013 National Conference on Communications (NCC), 1-5, 2013 | 20 | 2013 |
Bayesian algorithms for decentralized stochastic bandits A Lalitha, A Goldsmith IEEE Journal on Selected Areas in Information Theory 2 (2), 564-583, 2021 | 18 | 2021 |
Reliability of sequential hypothesis testing can be achieved by an almost-fixed-length test A Lalitha, T Javidi 2016 IEEE International Symposium on Information Theory (ISIT), 1710-1714, 2016 | 14 | 2016 |
Peer-to-peer variational federated learning over arbitrary graphs X Wang, A Lalitha, T Javidi, F Koushanfar IEEE Journal on Selected Areas in Information Theory 3 (2), 172-182, 2022 | 13 | 2022 |
Measurement dependent noisy search: The gaussian case A Lalitha, N Ronquillo, T Javidi 2017 IEEE International Symposium on Information Theory (ISIT), 3090-3094, 2017 | 11 | 2017 |
Peer-to-peer federated learning on graphs. arXiv 2019 A Lalitha, OC Kilinc, T Javidi, F Koushanfar arXiv preprint arXiv:1901.11173, 0 | 10 | |
Real-time binary posterior matching A Lalitha, A Khina, T Javidi, V Kostina 2019 IEEE International Symposium on Information Theory (ISIT), 2239-2243, 2019 | 7 | 2019 |
Large deviation analysis for learning rate in distributed hypothesis testing A Lalitha, T Javidi 2015 49th Asilomar Conference on Signals, Systems and Computers, 1065-1069, 2015 | 7 | 2015 |
Bit-wise sequential coding with feedback SE Chiu, A Lalitha, T Javidi 2018 IEEE International Symposium on Information Theory (ISIT), 321-325, 2018 | 6 | 2018 |
Power and delay optimal policies for wireless systems KV Satya, A Lalitha, V Sharma 2012 National Conference on Communications (NCC), 1-4, 2012 | 6 | 2012 |
Fixed-budget best-arm identification with heterogeneous reward variances AL Lalitha, K Kalantari, Y Ma, A Deoras, B Kveton Uncertainty in Artificial Intelligence, 1164-1173, 2023 | 5 | 2023 |
On error exponents of almost-fixed-length channel codes and hypothesis tests A Lalitha, T Javidi arXiv preprint arXiv:2012.00077, 2020 | 5 | 2020 |
Learning via active hypothesis testing over networks A Lalitha, T Javidi 2017 IEEE Information Theory Workshop (ITW), 374-378, 2017 | 5 | 2017 |
Automatic grammar augmentation for robust voice command recognition Y Yang, A Lalitha, JW Lee, C Lott US Patent 11,282,512, 2022 | 4 | 2022 |
Automatic grammar augmentation for robust voice command recognition Y Yang, A Lalitha, J Lee, C Lott ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |