| Deep multi-user reinforcement learning for distributed dynamic spectrum access O Naparstek, K Cohen IEEE Transactions on Wireless Communications 18 (1), 310-323, 2019 | 552 | 2019 |
| Deep multi-user reinforcement learning for distributed dynamic spectrum access O Naparstek, K Cohen IEEE Transactions on Wireless Communications 18 (1), 310-323, 2019 | 552 | 2019 |
| Over-the-air federated learning from heterogeneous data T Sery, N Shlezinger, K Cohen, YC Eldar IEEE Transactions on Signal Processing 69, 3796-3811, 2021 | 185 | 2021 |
| On analog gradient descent learning over multiple access fading channels T Sery, K Cohen IEEE Transactions on Signal Processing 68, 2897-2911, 2020 | 144 | 2020 |
| Federated learning: A signal processing perspective T Gafni, N Shlezinger, K Cohen, YC Eldar, HV Poor IEEE Signal Processing Magazine 39 (3), 14-41, 2022 | 131 | 2022 |
| Active hypothesis testing for anomaly detection K Cohen, Q Zhao IEEE Transactions on Information Theory 61 (3), 1432-1450, 2015 | 99 | 2015 |
| A time-varying opportunistic approach to lifetime maximization of wireless sensor networks K Cohen, A Leshem IEEE Transactions on signal processing 58 (10), 5307-5319, 2010 | 70 | 2010 |
| Game theoretic aspects of the multi-channel ALOHA protocol in cognitive radio networks K Cohen, A Leshem, E Zehavi IEEE Journal on Selected Areas in Communications 31 (11), 2276-2288, 2013 | 66 | 2013 |
| Active anomaly detection in heterogeneous processes B Huang, K Cohen, Q Zhao IEEE Transactions on Information Theory 65 (4), 2284-2301, 2019 | 65 | 2019 |
| Asymptotically optimal anomaly detection via sequential testing K Cohen, Q Zhao IEEE Transactions on Signal Processing 63 (11), 2929-2941, 2015 | 52 | 2015 |
| On projected stochastic gradient descent algorithm with weighted averaging for least squares regression K Cohen, A Nedić, R Srikant IEEE Transactions on Automatic Control 62 (11), 5974-5981, 2017 | 51 | 2017 |
| Optimal index policies for anomaly localization in resource-constrained cyber systems K Cohen, Q Zhao, A Swami IEEE Transactions on Signal Processing 62 (16), 4224-4236, 2014 | 49 | 2014 |
| Energy-efficient detection in wireless sensor networks using likelihood ratio and channel state information K Cohen, A Leshem IEEE Journal on Selected Areas in Communications 29 (8), 1671-1683, 2011 | 47 | 2011 |
| Distributed learning algorithms for spectrum sharing in spatial random access wireless networks K Cohen, A Nedić, R Srikant IEEE Transactions on Automatic Control 62 (6), 2854-2869, 2017 | 44 | 2017 |
| Pops: Policy pruning and shrinking for deep reinforcement learning D Livne, K Cohen IEEE Journal of Selected Topics in Signal Processing 14 (4), 789-801, 2020 | 39 | 2020 |
| Distributed game-theoretic optimization and management of multichannel ALOHA networks K Cohen, A Leshem IEEE/ACM Transactions on Networking 24 (3), 1718-1731, 2016 | 34 | 2016 |
| Sequential anomaly detection under a nonlinear system cost A Gurevich, K Cohen, Q Zhao IEEE Transactions on Signal Processing 67 (14), 3689-3703, 2019 | 33 | 2019 |
| Sequential anomaly detection under a nonlinear system cost A Gurevich, K Cohen, Q Zhao IEEE Transactions on Signal Processing 67 (14), 3689-3703, 2019 | 33 | 2019 |
| Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access K Cohen, Q Zhao, A Scaglione 2014 48th Asilomar Conference on Signals, Systems and Computers, 1575-1578, 2014 | 33 | 2014 |
| Performance analysis of likelihood-based multiple access for detection over fading channels K Cohen, A Leshem IEEE Transactions on Information Theory 59 (4), 2471-2481, 2013 | 31 | 2013 |
Qing ZhaoProfessor at Cornell University在 cornell.edu 的电子邮件经过验证
