default search action
Kobi Cohen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j41]Hadar Szostak, Kobi Cohen:
Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. IEEE Access 12: 130444-130459 (2024) - [j40]Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. 72: 735-743 (2024) - [j39]Tomer Gafni, Kobi Cohen, Yonina C. Eldar:
Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. IEEE Trans. Signal Process. 72: 1928-1943 (2024) - [j38]Raz Paul, Kobi Cohen, Gil Kedar:
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. IEEE Trans. Wirel. Commun. 23(4): 3691-3705 (2024) - [c32]Levli Citron, Kobi Cohen, Qing Zhao:
Anomaly Search of a Hidden Markov Model. ISIT 2024: 3684-3688 - [i34]Yaniv Cohen, Tomer Gafni, Ronen Greenberg, Kobi Cohen:
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks. CoRR abs/2402.17773 (2024) - [i33]David Zenati, Tzalik Maimon, Kobi Cohen:
RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency with Efficient Complexity. CoRR abs/2407.18683 (2024) - [i32]Dan Ben Ami, Kobi Cohen:
A Stable Polygamy Approach to Spectrum Access with Channel Reuse. CoRR abs/2408.12402 (2024) - 2023
- [j37]Omer Amar, Ilana Sarfati, Kobi Cohen:
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. IEEE Access 11: 57253-57267 (2023) - [j36]Tamir L. S. Gez, Kobi Cohen:
Subgradient Descent Learning Over Fading Multiple Access Channels With Over-the-Air Computation. IEEE Access 11: 94623-94635 (2023) - [j35]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: 202-217 (2023) - [j34]Yoel Bokobza, Ron Dabora, Kobi Cohen:
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. IEEE Trans. Wirel. Commun. 22(7): 4930-4946 (2023) - [c31]Dan Ben Ami, Kobi Cohen, Qing Zhao:
Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP 2023: 1-5 - [c30]Tamir L. S. Gez, Kobi Cohen:
Subgradient Descent Learning with Over-the-Air Computation. ICASSP 2023: 1-5 - [i31]Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR abs/2301.08869 (2023) - [i30]Dan Ben Ami, Kobi Cohen, Qing Zhao:
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. CoRR abs/2303.10373 (2023) - [i29]Raz Paul, Kobi Cohen, Gil Kedar:
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach. CoRR abs/2303.15544 (2023) - [i28]Temitope O. Fajemilehin, Kobi Cohen:
A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems. CoRR abs/2309.04196 (2023) - [i27]Hadar Szostak, Kobi Cohen:
Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing. CoRR abs/2309.08477 (2023) - [i26]Tamir L. S. Gez, Kobi Cohen:
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems. CoRR abs/2312.03889 (2023) - [i25]Ran Greidi, Kobi Cohen:
Sparse Training for Federated Learning with Regularized Error Correction. CoRR abs/2312.13795 (2023) - 2022
- [j33]Tomer Gafni, Kobi Cohen:
Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access. IEEE Access 10: 46652-46669 (2022) - [j32]Raz Paul, Yuval Friedman, Kobi Cohen:
Accelerated Gradient Descent Learning Over Multiple Access Fading Channels. IEEE J. Sel. Areas Commun. 40(2): 532-547 (2022) - [j31]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39(3): 14-41 (2022) - [j30]Tidhar Lambez, Kobi Cohen:
Anomaly Search With Multiple Plays Under Delay and Switching Costs. IEEE Trans. Signal Process. 70: 174-189 (2022) - [j29]Tomer Gafni, Michal Yemini, Kobi Cohen:
Learning in Restless Bandits Under Exogenous Global Markov Process. IEEE Trans. Signal Process. 70: 5679-5693 (2022) - [c29]Tomer Gafni, Kobi Cohen, Yonina C. Eldar:
CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data. Allerton 2022: 1-4 - [c28]Hadar Szostak, Kobi Cohen:
Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning. Allerton 2022: 1-4 - [c27]Tomer Gafni, Michal Yemini, Kobi Cohen:
Restless Multi-Armed Bandits under Exogenous Global Markov Process. ICASSP 2022: 5218-5222 - [c26]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT 2022: 2421-2426 - [c25]Yoel Bokobza, Ron Dabora, Kobi Cohen:
Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning. ISIT 2022: 2684-2689 - [i24]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR abs/2202.10418 (2022) - [i23]Tomer Gafni, Michal Yemini, Kobi Cohen:
Restless Multi-Armed Bandits under Exogenous Global Markov Process. CoRR abs/2202.13665 (2022) - [i22]Omer Amar, Kobi Cohen:
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks. CoRR abs/2204.03620 (2022) - 2021
- [j28]David Lazar, Kobi Cohen, Alon Freund, Avishay Bartik, Aviv Ron:
IMDoC: Identification of Malicious Domain Campaigns via DNS and Communicating Files. IEEE Access 9: 45242-45258 (2021) - [j27]Tomer Gafni, Kobi Cohen, Qing Zhao:
Searching for Unknown Anomalies in Hierarchical Data Streams. IEEE Signal Process. Lett. 28: 1774-1778 (2021) - [j26]Tomer Gafni, Kobi Cohen:
Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules. IEEE Trans. Autom. Control. 66(10): 5029-5036 (2021) - [j25]Chao Wang, Kobi Cohen, Qing Zhao:
Information-Directed Random Walk for Rare Event Detection in Hierarchical Processes. IEEE Trans. Inf. Theory 67(2): 1099-1116 (2021) - [j24]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
Over-the-Air Federated Learning From Heterogeneous Data. IEEE Trans. Signal Process. 69: 3796-3811 (2021) - [c24]Tidhar Lambez, Kobi Cohen:
Searching for Anomalies with Multiple Plays under Delay and Switching Costs. ICASSP 2021: 4975-4979 - [c23]Kobi Cohen, Amir Leshem:
Controlled Testing and Isolation for Suppressing Covid-19. ICASSP 2021: 5489-5493 - [c22]Omer Amar, Kobi Cohen:
Online Learning for Shortest Path and Backpressure Routing in Wireless Networks. ISIT 2021: 2702-2707 - [i21]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A Signal Processing Perspective. CoRR abs/2103.17150 (2021) - [i20]Raz Paul, Yuval Friedman, Kobi Cohen:
Accelerated Gradient Descent Learning over Multiple Access Fading Channels. CoRR abs/2107.12452 (2021) - [i19]Tidhar Lambez, Kobi Cohen:
Anomaly Search with Multiple Plays under Delay and Switching Costs. CoRR abs/2108.03082 (2021) - [i18]Yoel Bokobza, Ron Dabora, Kobi Cohen:
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks. CoRR abs/2110.14541 (2021) - [i17]Tomer Gafni, Michal Yemini, Kobi Cohen:
Learning in Restless Bandits under Exogenous Global Markov Process. CoRR abs/2112.09484 (2021) - 2020
- [j23]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: 66327-66337 (2020) - [j22]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: 145751-145767 (2020) - [j21]Anton Puzanov, Senyang Zhang, Kobi Cohen:
Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems. Eng. Appl. Artif. Intell. 91: 103589 (2020) - [j20]Dor Livne, Kobi Cohen:
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. IEEE J. Sel. Top. Signal Process. 14(4): 789-801 (2020) - [j19]Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao:
Searching for Anomalies Over Composite Hypotheses. IEEE Trans. Signal Process. 68: 1181-1196 (2020) - [j18]Tomer Sery, Kobi Cohen:
On Analog Gradient Descent Learning Over Multiple Access Fading Channels. IEEE Trans. Signal Process. 68: 2897-2911 (2020) - [j17]Dean Malachi, Kobi Cohen:
Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks. IEEE Wirel. Commun. Lett. 9(8): 1309-1313 (2020) - [c21]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
COTAF: Convergent Over-the-Air Federated Learning. GLOBECOM 2020: 1-6 - [i16]Dor Livne, Kobi Cohen:
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. CoRR abs/2001.05012 (2020) - [i15]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
Over-the-Air Federated Learning from Heterogeneous Data. CoRR abs/2009.12787 (2020)
2010 – 2019
- 2019
- [j16]Kobi Cohen, Dean Malachi:
A Time-Varying Opportunistic Multiple Access for Delay-Sensitive Inference in Wireless Sensor Networks. IEEE Access 7: 170475-170487 (2019) - [j15]Boshuang Huang, Kobi Cohen, Qing Zhao:
Active Anomaly Detection in Heterogeneous Processes. IEEE Trans. Inf. Theory 65(4): 2284-2301 (2019) - [j14]Andrey Gurevich, Kobi Cohen, Qing Zhao:
Sequential Anomaly Detection Under a Nonlinear System Cost. IEEE Trans. Signal Process. 67(14): 3689-3703 (2019) - [j13]Oshri Naparstek, Kobi Cohen:
Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 18(1): 310-323 (2019) - [c20]Tomer Sery, Kobi Cohen:
A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels. Allerton 2019: 303-307 - [c19]Tomer Gafni, Kobi Cohen:
A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. Allerton 2019: 347-351 - [i14]Tomer Gafni, Kobi Cohen:
Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules. CoRR abs/1906.08120 (2019) - [i13]Tomer Sery, Kobi Cohen:
On Analog Gradient Descent Learning over Multiple Access Fading Channels. CoRR abs/1908.07463 (2019) - [i12]Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao:
Searching for Anomalies over Composite Hypotheses. CoRR abs/1911.05381 (2019) - 2018
- [j12]Kobi Cohen, Amir Leshem:
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. 66(22): 5988-6001 (2018) - [c18]Anton Puzanov, Kobi Cohen:
Deep Reinforcement One-Shot Learning for Change Point Detection. Allerton 2018: 1047-1051 - [c17]Boshuang Huang, Kobi Cohen, Qing Zhao:
Active Anomaly Detection in Heterogeneous Processes. ICASSP 2018: 3924-3928 - [c16]Kobi Cohen, Amir Leshem:
Density-Based Multiple Access for Detection in Wireless Sensor Networks. ISIT 2018: 776-780 - [c15]Tomer Gafni, Kobi Cohen:
Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules. ISIT 2018: 1206-1210 - [c14]Chao Wang, Qing Zhao, Kobi Cohen:
Dynamic Search on a Tree with Information-Directed Random Walk. SPAWC 2018: 1-5 - [i11]Anton Puzanov, Kobi Cohen:
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems. CoRR abs/1808.01527 (2018) - [i10]Kobi Cohen, Amir Leshem:
Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks. CoRR abs/1809.08468 (2018) - 2017
- [j11]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. IEEE Trans. Autom. Control. 62(6): 2854-2869 (2017) - [j10]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): 5974-5981 (2017) - [c13]Andrey Gurevich, Kobi Cohen, Qing Zhao:
Anomaly detection under a nonlinear system cost objective function. Allerton 2017: 634-638 - [c12]Oshri Naparstek, Kobi Cohen:
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. GLOBECOM 2017: 1-7 - [c11]Chao Wang, Kobi Cohen, Qing Zhao:
Active hypothesis testing on a tree: Anomaly detection under hierarchical observations. ISIT 2017: 993-997 - [i9]Boshuang Huang, Kobi Cohen, Qing Zhao:
Sequential Active Detection of Anomalies in Heterogeneous Processes. CoRR abs/1704.00766 (2017) - [i8]Oshri Naparstek, Kobi Cohen:
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks. CoRR abs/1704.02613 (2017) - 2016
- [j9]Kobi Cohen, Amir Leshem:
Distributed Game-Theoretic Optimization and Management of Multichannel ALOHA Networks. IEEE/ACM Trans. Netw. 24(3): 1718-1731 (2016) - [c10]Kobi Cohen, Angelia Nedic, R. Srikant:
On projected stochastic gradient descent algorithm with weighted averaging for least squares regression. ICASSP 2016: 2314-2318 - [c9]Bar Hemo, Kobi Cohen, Qing Zhao:
Asymptotically optimal search of unknown anomalies. ISSPIT 2016: 75-80 - [i7]Kobi Cohen, Angelia Nedic, R. Srikant:
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. CoRR abs/1606.03000 (2016) - [i6]Chao Wang, Qing Zhao, Kobi Cohen:
Active Hypothesis Testing on A Tree: Anomaly Detection under Hierarchical Observations. CoRR abs/1612.09067 (2016) - 2015
- [j8]Kobi Cohen, Qing Zhao:
Active Hypothesis Testing for Anomaly Detection. IEEE Trans. Inf. Theory 61(3): 1432-1450 (2015) - [j7]Kobi Cohen, Qing Zhao:
Asymptotically Optimal Anomaly Detection via Sequential Testing. IEEE Trans. Signal Process. 63(11): 2929-2941 (2015) - [c8]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed learning algorithms for spectrum sharing in spatial random access networks. WiOpt 2015: 513-520 - [i5]Kobi Cohen, Angelia Nedic, R. Srikant:
Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks. CoRR abs/1507.05664 (2015) - 2014
- [j6]Kobi Cohen, Qing Zhao, Ananthram Swami:
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. IEEE Trans. Signal Process. 62(16): 4224-4236 (2014) - [c7]Kobi Cohen, Qing Zhao, Anna Scaglione:
Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access. ACSSC 2014: 1575-1578 - [c6]Kobi Cohen, Qing Zhao:
Anomaly detection over independent processes: Switching with memory. Allerton 2014: 33-37 - [c5]Kobi Cohen, Qing Zhao:
Quickest anomaly detection: A case of active hypothesis testing. ITA 2014: 1-5 - [i4]Kobi Cohen, Qing Zhao:
Active Hypothesis Testing for Quickest Anomaly Detection. CoRR abs/1403.1023 (2014) - [i3]Kobi Cohen, Qing Zhao, Ananthram Swami:
Optimal Index Policies for Anomaly Localization in Resource-Constrained Cyber Systems. CoRR abs/1405.4098 (2014) - [i2]Kobi Cohen, Qing Zhao:
Asymptotically Optimal Sequential Tests for Anomaly Detection: Switching with Memory. CoRR abs/1405.4659 (2014) - 2013
- [j5]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): 2276-2288 (2013) - [j4]Kobi Cohen, Amir Leshem:
Performance Analysis of Likelihood-Based Multiple Access for Detection Over Fading Channels. IEEE Trans. Inf. Theory 59(4): 2471-2481 (2013) - [c4]Kobi Cohen, Amir Leshem:
Distributed throughput maximization for multi-channel ALOHA networks. CAMSAP 2013: 456-459 - [c3]Kobi Cohen, Qing Zhao, Ananthram Swami:
Optimal index policies for quickest localization of anomaly in cyber networks. GlobalSIP 2013: 221-224 - [i1]Kobi Cohen, Amir Leshem:
Distributed Game Theoretic Optimization and Management of Multi-Channel ALOHA Networks. CoRR abs/1312.7513 (2013) - 2012
- [j3]Oshri Naparstek, Kobi Cohen, Amir Leshem:
Parametric Spectrum Shaping for Downstream Spectrum Management of Digital Subscriber Lines. IEEE Commun. Lett. 16(3): 417-419 (2012) - [c2]Kobi Cohen, Amir Leshem, Ephraim Zehavi:
A Game Theoretic Optimization of the Multi-channel ALOHA Protocol. GAMENETS 2012: 77-87 - 2011
- [j2]Kobi Cohen, Amir Leshem:
Energy-Efficient Detection in Wireless Sensor Networks Using Likelihood Ratio and Channel State Information. IEEE J. Sel. Areas Commun. 29(8): 1671-1683 (2011) - 2010
- [j1]Kobi Cohen, Amir Leshem:
A time-varying opportunistic approach to lifetime maximization of wireless sensor networks. IEEE Trans. Signal Process. 58(10): 5307-5319 (2010)
2000 – 2009
- 2009
- [c1]Kobi Cohen, Amir Leshem:
Time-varying Opportunistic Protocol for maximizing sensor networks lifetime. ICASSP 2009: 2421-2424
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-13 18:01 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint