Kobi Cohen

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 83

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

Allerton

Publications

Tomer Gafni, Kobi Cohen, Yonina C. Eldar
Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. IEEE Trans. Signal Process. 72 (2024)
Raz Paul, Kobi Cohen, Gil Kedar
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. IEEE Trans. Wirel. Commun. 23 (4) (2024)
David Zenati, Tzalik Maimon, Kobi Cohen
RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency with Efficient Complexity. CoRR (2024)
Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. CoRR (2024)
Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. 72 (2024)
Tamir L. S. Gez, Kobi Cohen
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems. CoRR (2023)
Tamir L. S. Gez, Kobi Cohen
Subgradient Descent Learning with Over-the-Air Computation. ICASSP (2023)
Omer Amar, Ilana Sarfati, Kobi Cohen
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. IEEE Access 11 (2023)
Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71 (2023)
Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR (2023)
Tamir L. S. Gez, Kobi Cohen
Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation. IEEE Access 11 (2023)
Dan Ben Ami, Kobi Cohen, Qing Zhao
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. CoRR (2023)
Dan Ben Ami, Kobi Cohen, Qing Zhao
Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP (2023)
Yoel Bokobza, Ron Dabora, Kobi Cohen
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. IEEE Trans. Wirel. Commun. 22 (7) (2023)
Hadar Szostak, Kobi Cohen
Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. CoRR (2023)
Temitope O. Fajemilehin, Kobi Cohen
A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems. CoRR (2023)
Ran Greidi, Kobi Cohen
Sparse Training for Federated Learning with Regularized Error Correction. CoRR (2023)
Raz Paul, Kobi Cohen, Gil Kedar
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. CoRR (2023)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT (2022)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR (2022)
Tidhar Lambez, Kobi Cohen
Anomaly Search With Multiple Plays Under Delay and Switching Costs. IEEE Trans. Signal Process. 70 (2022)
Tomer Gafni, Michal Yemini, Kobi Cohen
Restless Multi-Armed Bandits under Exogenous Global Markov Process. CoRR (2022)
Tomer Gafni, Kobi Cohen
Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access. IEEE Access 10 (2022)
Raz Paul, Yuval Friedman, Kobi Cohen
Accelerated Gradient Descent Learning Over Multiple Access Fading Channels. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39 (3) (2022)
Omer Amar, Kobi Cohen
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. CoRR (2022)
Tomer Gafni, Kobi Cohen, Yonina C. Eldar
CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data. Allerton (2022)
Yoel Bokobza, Ron Dabora, Kobi Cohen
Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning. ISIT (2022)
Tomer Gafni, Michal Yemini, Kobi Cohen
Restless Multi-Armed Bandits under Exogenous Global Markov Process. ICASSP (2022)
Hadar Szostak, Kobi Cohen
Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning. Allerton (2022)
Tomer Gafni, Michal Yemini, Kobi Cohen
Learning in Restless Bandits Under Exogenous Global Markov Process. IEEE Trans. Signal Process. 70 (2022)
David Lazar, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
IMDoC: Identification of Malicious Domain Campaigns via DNS and Communicating Files. IEEE Access 9 (2021)
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
Over-the-Air Federated Learning From Heterogeneous Data. IEEE Trans. Signal Process. 69 (2021)
Tomer Gafni, Michal Yemini, Kobi Cohen
Learning in Restless Bandits under Exogenous Global Markov Process. CoRR (2021)
Tomer Gafni, Kobi Cohen
Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules. IEEE Trans. Autom. Control. 66 (10) (2021)
Tidhar Lambez, Kobi Cohen
Searching for Anomalies with Multiple Plays under Delay and Switching Costs. ICASSP (2021)
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
Federated Learning: A Signal Processing Perspective. CoRR (2021)
Raz Paul, Yuval Friedman, Kobi Cohen
Accelerated Gradient Descent Learning over Multiple Access Fading Channels. CoRR (2021)
Tidhar Lambez, Kobi Cohen
Anomaly Search with Multiple Plays under Delay and Switching Costs. CoRR (2021)
Kobi Cohen, Amir Leshem
Controlled Testing and Isolation for Suppressing Covid-19. ICASSP (2021)
Omer Amar, Kobi Cohen
Online Learning for Shortest Path and Backpressure Routing in Wireless Networks. ISIT (2021)
Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Unknown Anomalies in Hierarchical Data Streams. IEEE Signal Process. Lett. 28 (2021)
Chao Wang, Kobi Cohen, Qing Zhao
Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. IEEE Trans. Inf. Theory 67 (2) (2021)
Yoel Bokobza, Ron Dabora, Kobi Cohen
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. CoRR (2021)
Gilad Rosenthal, Ofir Erets Kdosha, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
ARBA: Anomaly and Reputation Based Approach for Detecting Infected IoT Devices. IEEE Access 8 (2020)
Dor Livne, Kobi Cohen
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. CoRR (2020)
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
COTAF: Convergent Over-the-Air Federated Learning. GLOBECOM (2020)
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
Over-the-Air Federated Learning from Heterogeneous Data. CoRR (2020)
Tomer Sery, Kobi Cohen
On Analog Gradient Descent Learning Over Multiple Access Fading Channels. IEEE Trans. Signal Process. 68 (2020)
Dean Malachi, Kobi Cohen
Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks. IEEE Wirel. Commun. Lett. 9 (8) (2020)
Ofir Erets Kdosha, Gilad Rosenthal, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron
REMaDD: Resource-Efficient Malicious Domains Detector in Large-Scale Networks. IEEE Access 8 (2020)
Anton Puzanov, Senyang Zhang, Kobi Cohen
Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems. Eng. Appl. Artif. Intell. 91 (2020)
Dor Livne, Kobi Cohen
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Anomalies Over Composite Hypotheses. IEEE Trans. Signal Process. 68 (2020)
Tomer Sery, Kobi Cohen
On Analog Gradient Descent Learning over Multiple Access Fading Channels. CoRR (2019)
Tomer Sery, Kobi Cohen
A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels. Allerton (2019)
Boshuang Huang, Kobi Cohen, Qing Zhao
Active Anomaly Detection in Heterogeneous Processes. IEEE Trans. Inf. Theory 65 (4) (2019)
Tomer Gafni, Kobi Cohen
A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. Allerton (2019)
Oshri Naparstek, Kobi Cohen
Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 18 (1) (2019)
Tomer Gafni, Kobi Cohen
Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. CoRR (2019)
Andrey Gurevich, Kobi Cohen, Qing Zhao
Sequential Anomaly Detection Under a Nonlinear System Cost. IEEE Trans. Signal Process. 67 (14) (2019)
Kobi Cohen, Dean Malachi
A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks. IEEE Access 7 (2019)
Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao
Searching for Anomalies over Composite Hypotheses. CoRR (2019)
Kobi Cohen, Amir Leshem
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. CoRR (2018)
Tomer Gafni, Kobi Cohen
Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules. ISIT (2018)
Kobi Cohen, Amir Leshem
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. 66 (22) (2018)
Anton Puzanov, Kobi Cohen
Deep Reinforcement One-Shot Learning for Change Point Detection. Allerton (2018)
Chao Wang, Qing Zhao, Kobi Cohen
Dynamic Search on a Tree with Information-Directed Random Walk. SPAWC (2018)
Kobi Cohen, Amir Leshem
Density-Based Multiple Access for Detection in Wireless Sensor Networks. ISIT (2018)
Anton Puzanov, Kobi Cohen
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems. CoRR (2018)
Boshuang Huang, Kobi Cohen, Qing Zhao
Active Anomaly Detection in Heterogeneous Processes. ICASSP (2018)
Oshri Naparstek, Kobi Cohen
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. GLOBECOM (2017)
Oshri Naparstek, Kobi Cohen
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. CoRR (2017)
Boshuang Huang, Kobi Cohen, Qing Zhao
Sequential Active Detection of Anomalies in Heterogeneous Processes. CoRR (2017)
Kobi Cohen, Angelia Nedic, R. Srikant
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. IEEE Trans. Autom. Control. 62 (11) (2017)
Andrey Gurevich, Kobi Cohen, Qing Zhao
Anomaly detection under a nonlinear system cost objective function. Allerton (2017)
Chao Wang, Kobi Cohen, Qing Zhao
Active hypothesis testing on a tree: Anomaly detection under hierarchical observations. ISIT (2017)
Kobi Cohen, Angelia Nedic, R. Srikant
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. IEEE Trans. Autom. Control. 62 (6) (2017)
Chao Wang, Qing Zhao, Kobi Cohen
Active Hypothesis Testing on A Tree: Anomaly Detection under Hierarchical Observations. CoRR (2016)
Kobi Cohen, Angelia Nedic, R. Srikant
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. CoRR (2016)
Kobi Cohen, Amir Leshem
Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks. IEEE/ACM Trans. Netw. 24 (3) (2016)
Kobi Cohen, Angelia Nedic, R. Srikant
On projected stochastic gradient descent algorithm with weighted averaging for least squares regression. ICASSP (2016)
Bar Hemo, Kobi Cohen, Qing Zhao
Asymptotically optimal search of unknown anomalies. ISSPIT (2016)
Kobi Cohen, Angelia Nedic, R. Srikant
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. CoRR (2015)
Kobi Cohen, Qing Zhao
Asymptotically Optimal Anomaly Detection via Sequential Testing. IEEE Trans. Signal Process. 63 (11) (2015)
Kobi Cohen, Angelia Nedic, R. Srikant
Distributed learning algorithms for spectrum sharing in spatial random access networks. WiOpt (2015)
Kobi Cohen, Qing Zhao
Active Hypothesis Testing for Anomaly Detection. IEEE Trans. Inf. Theory 61 (3) (2015)
Kobi Cohen, Qing Zhao
Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory. CoRR (2014)
Kobi Cohen, Qing Zhao
Quickest anomaly detection: A case of active hypothesis testing. ITA (2014)
Kobi Cohen, Qing Zhao, Anna Scaglione
Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access. ACSSC (2014)
Kobi Cohen, Qing Zhao
Active Hypothesis Testing for Quickest Anomaly Detection. CoRR (2014)
Kobi Cohen, Qing Zhao
Anomaly detection over independent processes: Switching with memory. Allerton (2014)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. CoRR (2014)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. IEEE Trans. Signal Process. 62 (16) (2014)
Kobi Cohen, Amir Leshem
Distributed throughput maximization for multi-channel ALOHA networks. CAMSAP (2013)
Kobi Cohen, Qing Zhao, Ananthram Swami
Optimal index policies for quickest localization of anomaly in cyber networks. GlobalSIP (2013)
Kobi Cohen, Amir Leshem, Ephraim Zehavi
Game Theoretic Aspects of the Multi-Channel ALOHA Protocol in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 31 (11) (2013)
Kobi Cohen, Amir Leshem
Performance Analysis of Likelihood-Based Multiple Access for Detection Over Fading Channels. IEEE Trans. Inf. Theory 59 (4) (2013)
Kobi Cohen, Amir Leshem
Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks. CoRR (2013)
Oshri Naparstek, Kobi Cohen, Amir Leshem
Parametric Spectrum Shaping for Downstream Spectrum Management of Digital Subscriber Lines. IEEE Commun. Lett. 16 (3) (2012)

Kobi Cohen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kobi Cohen