Tomer Gafni

Orcid: 0000-0002-5906-1428

According to our database1, Tomer Gafni authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation.
IEEE Trans. Signal Process., 2024

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks.
CoRR, 2024

2023
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.
IEEE Trans. Signal Process., 2023

2022
Learning in Restless Bandits Under Exogenous Global Markov Process.
IEEE Trans. Signal Process., 2022

Federated Learning: A signal processing perspective.
IEEE Signal Process. Mag., 2022

Distributed Learning Over Markovian Fading Channels for Stable Spectrum Access.
IEEE Access, 2022

Composite Anomaly Detection via Hierarchical Dynamic Search.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Restless Multi-Armed Bandits under Exogenous Global Markov Process.
Proceedings of the IEEE International Conference on Acoustics, 2022

CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Learning in Restless Multiarmed Bandits via Adaptive Arm Sequencing Rules.
IEEE Trans. Autom. Control., 2021

Searching for Unknown Anomalies in Hierarchical Data Streams.
IEEE Signal Process. Lett., 2021

2020
Searching for Anomalies Over Composite Hypotheses.
IEEE Trans. Signal Process., 2020

2019
Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules.
CoRR, 2019

A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Learning in Restless Multi-Armed Bandits using Adaptive Arm Sequencing Rules.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018


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