News and Updates
1/2025 Amir Leshem's paper on "Privacy preserving fair bandits"
1/2025 Amir Leshem's paper on "Privacy preserving fair bandits" will be presented in ICASSP's upcoming edition in BITS Pilani, Hyderabad
1/2025 Amir Leshem's paper on "Privacy preserving fair bandits" will be presented in ICASSP's upcoming edition in BITS Pilani, Hyderabad
10/2021: “Finite sample performance of linear least squares estimation”
10/2021: “Finite sample performance of linear least squares estimation” is published in Journal of the Franklin Institute
10/2021: “Finite sample performance of linear least squares estimation” is published in Journal of the Franklin Institute
10/2021: “Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game”
11/2021: IEEE Board of Directors elevated Prof. Leshem to IEEE Fellow for contributions to multi-channel and multi-agent signal processing! Congratulations!
11/2021: IEEE Board of Directors elevated Prof. Leshem to IEEE Fellow for contributions to multi-channel and multi-agent signal processing! Congratulations!
11/2021: IEEE Board of Directors elevated Prof. Leshem to IEEE Fellow for contributions to multi-channel and multi-agent signal processing! Congratulations!
12/2021: “Energy Consumption Performance of Opportunistic Device-to-Device Relaying Under Lognormal Shadowing”
03/ 2022: “Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-Player Bandits”
06/2022: “Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks”
07/2022: “Localization of Data Injection Attacks on Distributed M-Estimation”
07/2022: “Localization of Data Injection Attacks on Distributed M-Estimation”is published in IEEE Trans. on Signal and Information Processing over Networks ( Early Access )
07/2022: “Localization of Data Injection Attacks on Distributed M-Estimation”is published in IEEE Trans. on Signal and Information Processing over Networks ( Early Access )