Time-varying Opportunistic Protocol for maximizing sensor networks lifetime. - Kobi Cohen; Amir Leshem (ICASSP, 2009)

A time-varying opportunistic approach to lifetime maximization of wireless sensor networks. - Kobi Cohen; Amir Leshem (IEEE Trans. Signal Process., 2010)

Energy-Efficient Detection in Wireless Sensor Networks Using Likelihood Ratio and Channel State Information. - Kobi Cohen; Amir Leshem (IEEE J. Sel. Areas Commun., 2011)

A Game Theoretic Optimization of the Multi-channel ALOHA Protocol. - Kobi Cohen; Amir Leshem; Ephraim Zehavi (GAMENETS, 2012)

Parametric Spectrum Shaping for Downstream Spectrum Management of Digital Subscriber Lines. - Oshri Naparstek; Kobi Cohen; Amir Leshem (IEEE Commun. Lett., 2012)

Distributed throughput maximization for multi-channel ALOHA networks. - Kobi Cohen; Amir Leshem (CAMSAP, 2013)

Optimal index policies for quickest localization of anomaly in cyber networks. - Kobi Cohen; Qing Zhao 001; Ananthram Swami (GlobalSIP, 2013)

Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks. - Kobi Cohen; Amir Leshem (CoRR, 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)

Performance Analysis of Likelihood-Based Multiple Access for Detection Over Fading Channels. - Kobi Cohen; Amir Leshem (IEEE Trans. Inf. Theory, 2013)

Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access. - Kobi Cohen; Qing Zhao 001; Anna Scaglione (ACSSC, 2014)

Anomaly detection over independent processes: Switching with memory. - Kobi Cohen; Qing Zhao 001 (Allerton, 2014)

Quickest anomaly detection: A case of active hypothesis testing. - Kobi Cohen; Qing Zhao 001 (ITA, 2014)

Active Hypothesis Testing for Quickest Anomaly Detection. - Kobi Cohen; Qing Zhao 001 (CoRR, 2014)

Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory. - Kobi Cohen; Qing Zhao 001 (CoRR, 2014)

Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. - Kobi Cohen; Qing Zhao 001; Ananthram Swami (IEEE Trans. Signal Process., 2014)

Distributed learning algorithms for spectrum sharing in spatial random access networks. - Kobi Cohen; Angelia Nedic; R. Srikant 001 (WiOpt, 2015)

Active Hypothesis Testing for Anomaly Detection. - Kobi Cohen; Qing Zhao 001 (IEEE Trans. Inf. Theory, 2015)

Asymptotically Optimal Anomaly Detection via Sequential Testing. - Kobi Cohen; Qing Zhao 001 (IEEE Trans. Signal Process., 2015)

Asymptotically optimal search of unknown anomalies. - Bar Hemo; Kobi Cohen; Qing Zhao 001 (ISSPIT, 2016)

Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks. - Kobi Cohen; Amir Leshem (IEEE/ACM Trans. Netw., 2016)

Anomaly detection under a nonlinear system cost objective function. - Andrey Gurevich; Kobi Cohen; Qing Zhao 001 (Allerton, 2017)

Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. - Oshri Naparstek; Kobi Cohen (GLOBECOM, 2017)

Active hypothesis testing on a tree: Anomaly detection under hierarchical observations. - Chao Wang 013; Kobi Cohen; Qing Zhao 001 (ISIT, 2017)

Sequential Active Detection of Anomalies in Heterogeneous Processes. - Boshuang Huang; Kobi Cohen; Qing Zhao 001 (CoRR, 2017)

Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. - Kobi Cohen; Angelia Nedic; R. Srikant 001 (IEEE Trans. Autom. Control., 2017)

On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. - Kobi Cohen; Angelia Nedic; R. Srikant 001 (IEEE Trans. Autom. Control., 2017)

Deep Reinforcement One-Shot Learning for Change Point Detection. - Anton Puzanov; Kobi Cohen (Allerton, 2018)

Density-Based Multiple Access for Detection in Wireless Sensor Networks. - Kobi Cohen; Amir Leshem (ISIT, 2018)

Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (ISIT, 2018)

Dynamic Search on a Tree with Information-Directed Random Walk. - Chao Wang 013; Qing Zhao 001; Kobi Cohen (SPAWC, 2018)

Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems. - Anton Puzanov; Kobi Cohen (CoRR, 2018)

Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. - Kobi Cohen; Amir Leshem (IEEE Trans. Signal Process., 2018)

A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. - Tomer Gafni; Kobi Cohen (Allerton, 2019)

A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels. - Tomer Sery; Kobi Cohen (Allerton, 2019)

A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks. - Kobi Cohen; Dean Malachi (IEEE Access, 2019)

Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (CoRR, 2019)

Active Anomaly Detection in Heterogeneous Processes. - Boshuang Huang; Kobi Cohen; Qing Zhao 001 (IEEE Trans. Inf. Theory, 2019)

Sequential Anomaly Detection Under a Nonlinear System Cost. - Andrey Gurevich; Kobi Cohen; Qing Zhao 001 (IEEE Trans. Signal Process., 2019)

Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. - Oshri Naparstek; Kobi Cohen (IEEE Trans. Wirel. Commun., 2019)

COTAF: Convergent Over-the-Air Federated Learning. - Tomer Sery; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar (GLOBECOM, 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)

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)

Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems. - Anton Puzanov; Senyang Zhang; Kobi Cohen (Eng. Appl. Artif. Intell., 2020)

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. - Dor Livne; Kobi Cohen (IEEE J. Sel. Top. Signal Process., 2020)

Searching for Anomalies Over Composite Hypotheses. - Bar Hemo; Tomer Gafni; Kobi Cohen; Qing Zhao 001 (IEEE Trans. Signal Process., 2020)

On Analog Gradient Descent Learning Over Multiple Access Fading Channels. - Tomer Sery; Kobi Cohen (IEEE Trans. Signal Process., 2020)

Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks. - Dean Malachi; Kobi Cohen (IEEE Wirel. Commun. Lett., 2020)

Controlled Testing and Isolation for Suppressing Covid-19. - Kobi Cohen; Amir Leshem (ICASSP, 2021)

Searching for Anomalies with Multiple Plays under Delay and Switching Costs. - Tidhar Lambez; Kobi Cohen (ICASSP, 2021)

Online Learning for Shortest Path and Backpressure Routing in Wireless Networks. - Omer Amar; Kobi Cohen (ISIT, 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)

Searching for Unknown Anomalies in Hierarchical Data Streams. - Tomer Gafni; Kobi Cohen; Qing Zhao 001 (IEEE Signal Process. Lett., 2021)

Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules. - Tomer Gafni; Kobi Cohen (IEEE Trans. Autom. Control., 2021)

Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. - Chao Wang 013; Kobi Cohen; Qing Zhao 001 (IEEE Trans. Inf. Theory, 2021)

Over-the-Air Federated Learning From Heterogeneous Data. - Tomer Sery; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar (IEEE Trans. Signal Process., 2021)

CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data. - Tomer Gafni; Kobi Cohen; Yonina C. Eldar (Allerton, 2022)

Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning. - Hadar Szostak; Kobi Cohen (Allerton, 2022)

Restless Multi-Armed Bandits under Exogenous Global Markov Process. - Tomer Gafni; Michal Yemini; Kobi Cohen (ICASSP, 2022)

Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning. - Yoel Bokobza; Ron Dabora; Kobi Cohen (ISIT, 2022)

Composite Anomaly Detection via Hierarchical Dynamic Search. - Benjamin Wolff; Tomer Gafni; Guy Revach; Nir Shlezinger; Kobi Cohen (ISIT, 2022)

Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access. - Tomer Gafni; Kobi Cohen (IEEE Access, 2022)

An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. - Omer Amar; Kobi Cohen (CoRR, 2022)

Accelerated Gradient Descent Learning Over Multiple Access Fading Channels. - Raz Paul; Yuval Friedman; Kobi Cohen (IEEE J. Sel. Areas Commun., 2022)

Federated Learning: A signal processing perspective. - Tomer Gafni; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar; H. Vincent Poor (IEEE Signal Process. Mag., 2022)

Learning in Restless Bandits Under Exogenous Global Markov Process. - Tomer Gafni; Michal Yemini; Kobi Cohen (IEEE Trans. Signal Process., 2022)

Anomaly Search With Multiple Plays Under Delay and Switching Costs. - Tidhar Lambez; Kobi Cohen (IEEE Trans. Signal Process., 2022)

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. - Dan Ben Ami; Kobi Cohen; Qing Zhao 001 (ICASSP, 2023)

Subgradient Descent Learning with Over-the-Air Computation. - Tamir L. S. Gez; Kobi Cohen (ICASSP, 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 Over Fading Multiple Access Channels With Over-the-Air Computation. - Tamir L. S. Gez; Kobi Cohen (IEEE Access, 2023)

A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. - Sudeep Salgia; Karthik Murthy; Qing Zhao 001; Tamir Gabay; 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)

A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems. - Tamir L. S. Gez; Kobi Cohen (CoRR, 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)

Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. - Yoel Bokobza; Ron Dabora; Kobi Cohen (IEEE Trans. Wirel. Commun., 2023)

Active Change Point Anomaly Detection Over Composite Hypotheses. - Liad Lea Didi; Tomer Gafni; Kobi Cohen (Allerton, 2024)

A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems. - Tamir L. S. Gez; Kobi Cohen (Allerton, 2024)

Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction. - Ran Greidi; Kobi Cohen (Allerton, 2024)

Anomaly Search of a Hidden Markov Model. - Levli Citron; Kobi Cohen; Qing Zhao 001 (ISIT, 2024)

Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. - Hadar Szostak; Kobi Cohen (IEEE Access, 2024)

A Stable Polygamy Approach to Spectrum Access with Channel Reuse. - Dan Ben Ami; Kobi Cohen (CoRR, 2024)

Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model. - Liad Lea Didi; Tomer Gafni; Kobi Cohen (CoRR, 2024)

Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. - Tomer Gafni; Kobi Cohen; Yonina C. Eldar (IEEE Trans. Signal Process., 2024)

A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. - Sudeep Salgia; Tamir Gabay; Qing Zhao 001; Kobi Cohen (IEEE Trans. Signal Process., 2024)

Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. - Raz Paul; Kobi Cohen; Gil Kedar (IEEE Trans. Wirel. Commun., 2024)

Sparse Training for Federated Learning With Regularized Error Correction. - Ran Greidi; Kobi Cohen (IEEE J. Sel. Top. Signal Process., 2024)

PAUSE: Privacy-Aware Active User Selection for Federated Learning. - Ori Peleg; Natalie Lang; Stefano Rini; Nir Shlezinger; Kobi Cohen (ICASSP, 2025)

A Regularized Routing Optimization Approach for Enhanced Throughput and Low Latency with Efficient Complexity in Communication Networks. - David Zenati; Tzalik Maimon; Kobi Cohen (WCNC, 2025)

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. - Dan Ben Ami; Kobi Cohen; Qing Zhao 001 (IEEE Access, 2025)

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. - Yaniv Cohen; Tomer Gafni; Ronen Greenberg; Kobi Cohen (IEEE Trans. Wirel. Commun., 2025)

RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency With Efficient Complexity. - David Zenati; Tzalik Maimon; Kobi Cohen (IEEE J. Sel. Areas Commun., 2025)

PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. - Ori Peleg; Natalie Lang; Stefano Rini; Nir Shlezinger; Kobi Cohen (CoRR, 2025)

Searching for a Hidden Markov Anomaly over Multiple Processes. - Levli Citron; Kobi Cohen; Qing Zhao 001 (CoRR, 2025)

Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems. - Oren Fivel; Matan Rudman; Kobi Cohen (CoRR, 2025)