b'Ravi Tandon'

Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation

In this paper, we study the problem of federated learning over a wireles...
03/02/2021 ∙ by Mohamed Seif, et al. ∙ 1 ∙ share

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Topological Interference Management with Confidential Messages

The topological interference management (TIM) problem refers to the stud...
10/27/2020 ∙ by Jean de Dieu Mutangana, et al. ∙ 0 ∙ share

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Adversarial Filters for Secure Modulation Classification

Modulation Classification (MC) refers to the problem of classifying the ...
08/15/2020 ∙ by Alex Berian, et al. ∙ 0 ∙ share

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Asymmetric Leaky Private Information Retrieval

Information-theoretic formulations of the private information retrieval ...
06/04/2020 ∙ by Islam Samy, et al. ∙ 0 ∙ share

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Wireless Federated Learning with Local Differential Privacy

In this paper, we study the problem of federated learning (FL) over a wi...
02/12/2020 ∙ by Mohamed Seif, et al. ∙ 0 ∙ share

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Communication Efficient Federated Learning over Multiple Access Channels

In this work, we study the problem of federated learning (FL), where dis...
01/23/2020 ∙ by Wei-Ting Chang, et al. ∙ 0 ∙ share

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Latent-variable Private Information Retrieval

In many applications, content accessed by users (movies, videos, news ar...
01/16/2020 ∙ by Islam Samy, et al. ∙ 0 ∙ share

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Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation

In this paper, we study local information privacy (LIP), and design LIP ...
01/08/2020 ∙ by Bo Jiang, et al. ∙ 0 ∙ share

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Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI

In this work, we consider a Fog Radio Access Network (F-RAN) system with...
12/19/2019 ∙ by Wei-Ting Chang, et al. ∙ 0 ∙ share

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On the Upload versus Download Cost for Secure and Private Matrix Multiplication

In this paper, we study the problem of secure and private distributed ma...
06/25/2019 ∙ by Wei-Ting Chang, et al. ∙ 0 ∙ share

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Random Sampling for Distributed Coded Matrix Multiplication

Matrix multiplication is a fundamental building block for large scale co...
05/16/2019 ∙ by Wei-Ting Chang, et al. ∙ 0 ∙ share

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On the Capacity of Secure Distributed Matrix Multiplication

Matrix multiplication is one of the key operations in various engineerin...
06/01/2018 ∙ by Wei-Ting Chang, et al. ∙ 0 ∙ share

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The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases

Private information retrieval (PIR) allows a user to retrieve a desired ...
05/10/2018 ∙ by Mohamed Adel Attia, et al. ∙ 0 ∙ share

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Context-aware Data Aggregation with Localized Information Privacy

In this paper, localized information privacy (LIP) is proposed, as a new...
04/06/2018 ∙ by Bo Jiang, et al. ∙ 0 ∙ share

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On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT

In this paper, the K-user interference channel with confidential message...
01/10/2018 ∙ by Mohamed Seif, et al. ∙ 0 ∙ share

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Near Optimal Coded Data Shuffling for Distributed Learning

Data shuffling between distributed cluster of nodes is one of the critic...
01/05/2018 ∙ by Mohamed A. Attia, et al. ∙ 0 ∙ share

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Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Fog Radio Access Network (F-RAN) architectures can leverage both cloud p...
11/28/2017 ∙ by Seyyed Mohammadreza Azimi, et al. ∙ 0 ∙ share

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Combating Computational Heterogeneity in Large-Scale Distributed Computing via Work Exchange

Owing to data-intensive large-scale applications, distributed computatio...
11/22/2017 ∙ by Mohamed A. Attia, et al. ∙ 0 ∙ share

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Private Information Retrieval from Storage Constrained Databases -- Coded Caching meets PIR

Private information retrieval (PIR) allows a user to retrieve a desired ...
11/14/2017 ∙ by Maryam Abdul-Wahid, et al. ∙ 0 ∙ share

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Hierarchical Quickest Change Detection via Surrogates

Change detection (CD) in time series data is a critical problem as it re...
03/31/2016 ∙ by Prithwish Chakraborty, et al. ∙ 0 ∙ share

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Ravi Tandon

Featured Co-authors

Ming Li

Osvaldo Simeone

Bo Jiang

Naren Ramakrishnan

Prithwish Chakraborty

Wei-Ting Chang

Deepak Kumar

Mohamed A. Attia

Islam Samy

Loukas Lazos

Mohamed Seif

Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation

Topological Interference Management with Confidential Messages

Adversarial Filters for Secure Modulation Classification

Asymmetric Leaky Private Information Retrieval

Wireless Federated Learning with Local Differential Privacy

Communication Efficient Federated Learning over Multiple Access Channels

Latent-variable Private Information Retrieval

Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation

Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI

On the Upload versus Download Cost for Secure and Private Matrix Multiplication

Random Sampling for Distributed Coded Matrix Multiplication

On the Capacity of Secure Distributed Matrix Multiplication

The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases

Context-aware Data Aggregation with Localized Information Privacy

On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT

Near Optimal Coded Data Shuffling for Distributed Learning

Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Combating Computational Heterogeneity in Large-Scale Distributed Computing via Work Exchange

Private Information Retrieval from Storage Constrained Databases -- Coded Caching meets PIR

Hierarchical Quickest Change Detection via Surrogates