Kobi Cohen

According to our database, Kobi Cohen authored at least 82 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach.

Raz Paul, Kobi Cohen, Gil Kedar

IEEE Trans. Wirel. Commun., April, 2024

A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret.

Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen

IEEE Trans. Signal Process., 2024

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks.

Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen

CoRR, 2024

2023

Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks.

Yoel Bokobza, Ron Dabora, Kobi Cohen

IEEE Trans. Wirel. Commun., July, 2023

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.

Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen

IEEE Trans. Signal Process., 2023

Sparse Training for Federated Learning with Regularized Error Correction.

Ran Greidi, Kobi Cohen

CoRR, 2023

A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems.

Tamir L. S. Gez, Kobi Cohen

CoRR, 2023

Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing.

Hadar Szostak, Kobi Cohen

CoRR, 2023

A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems.

Temitope O. Fajemilehin, Kobi Cohen

CoRR, 2023

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach.

Dan Ben Ami, Kobi Cohen, Qing Zhao

CoRR, 2023

A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret.

Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen

CoRR, 2023

Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation.

Tamir L. S. Gez, Kobi Cohen

IEEE Access, 2023

An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks.

Omer Amar, Ilana Sarfati, Kobi Cohen

IEEE Access, 2023

Subgradient Descent Learning with Over-the-Air Computation.

Tamir L. S. Gez, Kobi Cohen

Proceedings of the IEEE International Conference on Acoustics, 2023

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach.

Dan Ben Ami, Kobi Cohen, Qing Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Anomaly Search With Multiple Plays Under Delay and Switching Costs.

Tidhar Lambez, Kobi Cohen

IEEE Trans. Signal Process., 2022

Learning in Restless Bandits Under Exogenous Global Markov Process.

Tomer Gafni, Michal Yemini, Kobi Cohen

IEEE Trans. Signal Process., 2022

Federated Learning: A signal processing perspective.

Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor

IEEE Signal Process. Mag., 2022

Accelerated Gradient Descent Learning Over Multiple Access Fading Channels.

Raz Paul, Yuval Friedman, Kobi Cohen

IEEE J. Sel. Areas Commun., 2022

An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks.

Omer Amar, Kobi Cohen

CoRR, 2022

Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access.

Tomer Gafni, Kobi Cohen

IEEE Access, 2022

Composite Anomaly Detection via Hierarchical Dynamic Search.

Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen

Proceedings of the IEEE International Symposium on Information Theory, 2022

Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning.

Yoel Bokobza, Ron Dabora, Kobi Cohen

Proceedings of the IEEE International Symposium on Information Theory, 2022

Restless Multi-Armed Bandits under Exogenous Global Markov Process.

Tomer Gafni, Michal Yemini, Kobi Cohen

Proceedings of the IEEE International Conference on Acoustics, 2022

Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning.

Hadar Szostak, Kobi Cohen

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data.

Tomer Gafni, Kobi Cohen, Yonina C. Eldar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Over-the-Air Federated Learning From Heterogeneous Data.

Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar

IEEE Trans. Signal Process., 2021

Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes.

Chao Wang, Kobi Cohen, Qing Zhao

IEEE Trans. Inf. Theory, 2021

Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules.

Tomer Gafni, Kobi Cohen

IEEE Trans. Autom. Control., 2021

Searching for Unknown Anomalies in Hierarchical Data Streams.

Tomer Gafni, Kobi Cohen, Qing Zhao

IEEE Signal Process. Lett., 2021

IMDoC: Identification of Malicious Domain Campaigns via DNS and Communicating Files.

David Lazar, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron

IEEE Access, 2021

Online Learning for Shortest Path and Backpressure Routing in Wireless Networks.

Omer Amar, Kobi Cohen

Proceedings of the IEEE International Symposium on Information Theory, 2021

Searching for Anomalies with Multiple Plays under Delay and Switching Costs.

Tidhar Lambez, Kobi Cohen

Proceedings of the IEEE International Conference on Acoustics, 2021

Controlled Testing and Isolation for Suppressing Covid-19.

Kobi Cohen, Amir Leshem

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks.

Dean Malachi, Kobi Cohen

IEEE Wirel. Commun. Lett., 2020

On Analog Gradient Descent Learning Over Multiple Access Fading Channels.

Tomer Sery, Kobi Cohen

IEEE Trans. Signal Process., 2020

Searching for Anomalies Over Composite Hypotheses.

Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao

IEEE Trans. Signal Process., 2020

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning.

Dor Livne, Kobi Cohen

IEEE J. Sel. Top. Signal Process., 2020

Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems.

Anton Puzanov, Senyang Zhang, Kobi Cohen

Eng. Appl. Artif. Intell., 2020

ARBA: Anomaly and Reputation Based Approach for Detecting Infected IoT Devices.

Gilad Rosenthal, Ofir Erets Kdosha, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron

IEEE Access, 2020

REMaDD: Resource-Efficient Malicious Domains Detector in Large-Scale Networks.

Ofir Erets Kdosha, Gilad Rosenthal, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron

IEEE Access, 2020

COTAF: Convergent Over-the-Air Federated Learning.

Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar

Proceedings of the IEEE Global Communications Conference, 2020

2019

Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access.

Oshri Naparstek, Kobi Cohen

IEEE Trans. Wirel. Commun., 2019

Sequential Anomaly Detection Under a Nonlinear System Cost.

Andrey Gurevich, Kobi Cohen, Qing Zhao

IEEE Trans. Signal Process., 2019

Active Anomaly Detection in Heterogeneous Processes.

Boshuang Huang, Kobi Cohen, Qing Zhao

IEEE Trans. Inf. Theory, 2019

Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules.

Tomer Gafni, Kobi Cohen

CoRR, 2019

A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks.

Kobi Cohen, Dean Malachi

IEEE Access, 2019

A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels.

Tomer Sery, Kobi Cohen

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access.

Tomer Gafni, Kobi Cohen

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks.

Kobi Cohen, Amir Leshem

IEEE Trans. Signal Process., 2018

Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems.

Anton Puzanov, Kobi Cohen

CoRR, 2018

Dynamic Search on a Tree with Information-Directed Random Walk.

Chao Wang, Qing Zhao, Kobi Cohen

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules.

Tomer Gafni, Kobi Cohen

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Density-Based Multiple Access for Detection in Wireless Sensor Networks.

Kobi Cohen, Amir Leshem

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Deep Reinforcement One-Shot Learning for Change Point Detection.

Anton Puzanov, Kobi Cohen

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression.

Kobi Cohen, Angelia Nedic, R. Srikant

IEEE Trans. Autom. Control., 2017

Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks.

Kobi Cohen, Angelia Nedic, R. Srikant

IEEE Trans. Autom. Control., 2017

Sequential Active Detection of Anomalies in Heterogeneous Processes.

Boshuang Huang, Kobi Cohen, Qing Zhao

CoRR, 2017

Active hypothesis testing on a tree: Anomaly detection under hierarchical observations.

Chao Wang, Kobi Cohen, Qing Zhao

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks.

Oshri Naparstek, Kobi Cohen

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Anomaly detection under a nonlinear system cost objective function.

Andrey Gurevich, Kobi Cohen, Qing Zhao

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks.

Kobi Cohen, Amir Leshem

IEEE/ACM Trans. Netw., 2016

Asymptotically optimal search of unknown anomalies.

Bar Hemo, Kobi Cohen, Qing Zhao

Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

2015

Asymptotically Optimal Anomaly Detection via Sequential Testing.

Kobi Cohen, Qing Zhao

IEEE Trans. Signal Process., 2015

Active Hypothesis Testing for Anomaly Detection.

Kobi Cohen, Qing Zhao

IEEE Trans. Inf. Theory, 2015

Distributed learning algorithms for spectrum sharing in spatial random access networks.

Kobi Cohen, Angelia Nedic, R. Srikant

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.

Kobi Cohen, Qing Zhao, Ananthram Swami

IEEE Trans. Signal Process., 2014

Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory.

Kobi Cohen, Qing Zhao

CoRR, 2014

Active Hypothesis Testing for Quickest Anomaly Detection.

Kobi Cohen, Qing Zhao

CoRR, 2014

Quickest anomaly detection: A case of active hypothesis testing.

Kobi Cohen, Qing Zhao

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

Anomaly detection over independent processes: Switching with memory.

Kobi Cohen, Qing Zhao

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access.

Kobi Cohen, Qing Zhao, Anna Scaglione

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.

Kobi Cohen, Amir Leshem

IEEE Trans. Inf. Theory, 2013

Game Theoretic Aspects of the Multi-Channel ALOHA Protocol in Cognitive Radio Networks.

Kobi Cohen, Amir Leshem, Ephraim Zehavi

IEEE J. Sel. Areas Commun., 2013

Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks.

Kobi Cohen, Amir Leshem

CoRR, 2013

Optimal index policies for quickest localization of anomaly in cyber networks.

Kobi Cohen, Qing Zhao, Ananthram Swami

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed throughput maximization for multi-channel ALOHA networks.

Kobi Cohen, Amir Leshem

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.

Oshri Naparstek, Kobi Cohen, Amir Leshem

IEEE Commun. Lett., 2012

A Game Theoretic Optimization of the Multi-channel ALOHA Protocol.

Kobi Cohen, Amir Leshem, Ephraim Zehavi

Proceedings of the Game Theory for Networks, 2012

2011

Energy-Efficient Detection in Wireless Sensor Networks Using Likelihood Ratio and Channel State Information.

Kobi Cohen, Amir Leshem

IEEE J. Sel. Areas Commun., 2011

2010

A time-varying opportunistic approach to lifetime maximization of wireless sensor networks.

Kobi Cohen, Amir Leshem

IEEE Trans. Signal Process., 2010

2009

Time-varying Opportunistic Protocol for maximizing sensor networks lifetime.

Kobi Cohen, Amir Leshem

Proceedings of the IEEE International Conference on Acoustics, 2009