Kobi Cohen
Orcid: 0000-0003-0532-009X
According to our database1,
Kobi Cohen
authored at least 90 papers
between 2009 and 2025.
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Bibliography
2025
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks.
IEEE Trans. Wirel. Commun., January, 2025
2024
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach.
IEEE Trans. Wirel. Commun., April, 2024
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret.
IEEE Trans. Signal Process., 2024
Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation.
IEEE Trans. Signal Process., 2024
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model.
CoRR, 2024
RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency with Efficient Complexity.
CoRR, 2024
IEEE Access, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
2023
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks.
IEEE Trans. Wirel. Commun., July, 2023
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.
IEEE Trans. Signal Process., 2023
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems.
CoRR, 2023
A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems.
CoRR, 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach.
CoRR, 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret.
CoRR, 2023
Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation.
IEEE Access, 2023
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
IEEE J. Sel. Areas Commun., 2022
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks.
CoRR, 2022
IEEE Access, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Inf. Theory, 2021
IEEE Trans. Autom. Control., 2021
IEEE Signal Process. Lett., 2021
IEEE Access, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE Wirel. Commun. Lett., 2020
IEEE Trans. Signal Process., 2020
IEEE J. Sel. Top. Signal Process., 2020
Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems.
Eng. Appl. Artif. Intell., 2020
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
IEEE Trans. Wirel. Commun., 2019
IEEE Trans. Signal Process., 2019
CoRR, 2019
A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks.
IEEE Access, 2019
A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2018
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems.
CoRR, 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression.
IEEE Trans. Autom. Control., 2017
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks.
IEEE Trans. Autom. Control., 2017
Active hypothesis testing on a tree: Anomaly detection under hierarchical observations.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks.
IEEE/ACM Trans. Netw., 2016
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016
2015
IEEE Trans. Signal Process., 2015
Distributed learning algorithms for spectrum sharing in spatial random access networks.
Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015
2014
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems.
IEEE Trans. Signal Process., 2014
Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory.
CoRR, 2014
Proceedings of the 2014 Information Theory and Applications Workshop, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Performance Analysis of Likelihood-Based Multiple Access for Detection Over Fading Channels.
IEEE Trans. Inf. Theory, 2013
Game Theoretic Aspects of the Multi-Channel ALOHA Protocol in Cognitive Radio Networks.
IEEE J. Sel. Areas Commun., 2013
Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks.
CoRR, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
Parametric Spectrum Shaping for Downstream Spectrum Management of Digital Subscriber Lines.
IEEE Commun. Lett., 2012
Proceedings of the Game Theory for Networks, 2012
2011
Energy-Efficient Detection in Wireless Sensor Networks Using Likelihood Ratio and Channel State Information.
IEEE J. Sel. Areas Commun., 2011
2010
A time-varying opportunistic approach to lifetime maximization of wireless sensor networks.
IEEE Trans. Signal Process., 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009