no code implementations • 4 Dec 2023 • Or Shalom, Amir Leshem, Waheed U. Bajwa
However, despite its advantages, federated learning can be susceptible to false data injection attacks.
no code implementations • 7 Jun 2023 • Amir Leshem
This significantly improves previous results which had the same upper bound on the regret of order $O(f(\log T) \log T )$ but an exponential dependence on the number of agents.
no code implementations • 4 Sep 2022 • Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem
Vertical distributed learning exploits the local features collected by multiple learning workers to form a better global model.
no code implementations • 25 Oct 2021 • Tomer Boyarski, Wenbo Wang, Amir Leshem
Based on the algorithm we provide a medium access control protocol which allows distributed implementation of the algorithm in ad-hoc networks.
no code implementations • 6 Apr 2021 • Pranav M. Pawar, Amir Leshem
In this paper, we combine game-theoretic insights with deep Q-learning to provide a novel asymptotically optimal solution to the spectrum collaboration problem.
no code implementations • 17 May 2020 • S. M. Zafaruddin, Amir Leshem
Interference cancellation is the main driving technology in enhancing the transmission rates over telephone lines above 100 Mbps.
1 code implementation • 30 Mar 2020 • Wenbo Wang, Amir Leshem, Dusit Niyato, Zhu Han
We study a decentralized channel allocation problem in an ad-hoc Internet of Things network underlaying on the spectrum licensed to a primary cellular network.
no code implementations • 22 Oct 2019 • Michal Yemini, Amir Leshem, Anelia Somekh-Baruch
Furthermore, we assume structural side information where the decision maker knows in advance that there are two types of hidden states; one is common to all arms and evolves according to a Markovian distribution, and the other is unique to each arm and is distributed according to an i. i. d.
no code implementations • 17 Feb 2019 • S. M. Zafaruddin, Ilai Bistritz, Amir Leshem, Dusit Niyato
When the CSI is time varying and unknown to the users, the users face the challenge of both learning the channel statistics online and converge to a good channel allocation.
no code implementations • NeurIPS 2018 • Ilai Bistritz, Amir Leshem
Each player has different expected rewards for the arms, and the instantaneous rewards are independent and identically distributed.
no code implementations • 23 Jan 2018 • Wenbo Wang, Dusit Niyato, Ping Wang, Amir Leshem
In this paper, we propose a decentralized framework of proactive caching in a hierarchical wireless network based on blockchains.
Networking and Internet Architecture
no code implementations • 20 Dec 2016 • Hoi-To Wai, Anna Scaglione, Uzi Harush, Baruch Barzel, Amir Leshem
To overcome this challenge, we develop the Robust IDentification of Sparse networks (RIDS) method that reconstructs the GRN from a small number of perturbation experiments.
no code implementations • 21 Jan 2016 • Hoi-To Wai, Anna Scaglione, Amir Leshem
The model used for the regression is based on the steady state equation in the linear DeGroot model under the influence of stubborn agents, i. e., agents whose opinions are not influenced by their neighbors.
no code implementations • 26 Sep 2015 • Manjesh K. Hanawal, Amir Leshem, Venkatesh Saligrama
We then provide a nearly optimal algorithm and show that its expected regret scales as $O(N\log^{1+\epsilon}(T))$ for an arbitrary small $\epsilon >0$.
no code implementations • NeurIPS 2009 • Jacob Goldberger, Amir Leshem
The factor graph that corresponds to this problem is very loopy; in fact, it is a complete graph.