Mikael Skoglund

research

∙ 09/16/2023

Private Variable-Length Coding with Sequential Encoder

A multi-user private data compression problem is studied. A server has a...

0 Amirreza Zamani, et al. ∙

research

∙ 09/16/2023

New Privacy Mechanism Design With Direct Access to the Private Data

The design of a statistical signal processing privacy problem is studied...

0 Amirreza Zamani, et al. ∙

research

∙ 08/07/2023

Off-the-grid Blind Deconvolution and Demixing

We consider the problem of gridless blind deconvolution and demixing (GB...

0 Saeed Razavikia, et al. ∙

research

∙ 06/25/2023

On Strong Secrecy for Multiple Access Channels with States and Causal CSI

Strong secrecy communication over a discrete memoryless state-dependent ...

0 Yiqi Chen, et al. ∙

research

∙ 06/22/2023

Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage

A private cache-aided compression problem is studied, where a server has...

0 Amirreza Zamani, et al. ∙

research

∙ 06/21/2023

More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity

In this paper, we present new high-probability PAC-Bayes bounds for diff...

0 Borja Rodríguez Gálvez, et al. ∙

research

∙ 05/10/2023

Secure Block Joint Source-Channel Coding with Sequential Encoding

We extend the results of Ghourchian et al. [IEEE JSAIT-2021], to joint s...

0 Hamid Ghourchian, et al. ∙

research

∙ 05/02/2023

On Strong Secrecy for Multiple Access Channel with States and Causal CSI

Strong secrecy communication over a discrete memoryless state-dependent ...

0 Yiqi Chen, et al. ∙

research

∙ 04/26/2023

Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards

In this work, we study the performance of the Thompson Sampling algorith...

7 Amaury Gouverneur, et al. ∙

research

∙ 04/16/2023

Pointwise Maximal Leakage on General Alphabets

Pointwise maximal leakage (PML) is an operationally meaningful privacy m...

0 Sara Saeidian, et al. ∙

research

∙ 03/14/2023

Inferential Privacy: From Impossibility to Database Privacy

We investigate the possibility of guaranteeing inferential privacy for m...

0 Sara Saeidian, et al. ∙

research

∙ 12/27/2022

Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization

To date, no "information-theoretic" frameworks for reasoning about gener...

8 Mahdi Haghifam, et al. ∙

research

∙ 12/23/2022

On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data

We study an information theoretic privacy mechanism design problem for t...

0 Amirreza Zamani, et al. ∙

research

∙ 11/28/2022

Multi-User Privacy Mechanism Design with Non-zero Leakage

A privacy mechanism design problem is studied through the lens of inform...

0 Amirreza Zamani, et al. ∙

research

∙ 11/10/2022

Information-Energy Regions in the Finite Block-Length Regime with Finite Channel Inputs

This paper provides a complete characterization of the information-energ...

0 Sadaf ul Zuhra, et al. ∙

research

∙ 09/16/2022

Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach

In this paper, we develop an efficient training beam sequence design app...

0 Deyou Zhang, et al. ∙

research

∙ 07/18/2022

An Information-Theoretic Analysis of Bayesian Reinforcement Learning

Building on the framework introduced by Xu and Raginksy [1] for supervis...

9 Amaury Gouverneur, et al. ∙

research

∙ 06/30/2022

Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels

In this paper, we study a quantized feedback scheme to maximize the good...

0 Hasan Basri Celebi, et al. ∙

research

∙ 05/10/2022

Pointwise Maximal Leakage

We introduce a privacy measure called pointwise maximal leakage, defined...

0 Sara Saeidian, et al. ∙

research

∙ 05/10/2022

Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage

An information theoretic privacy mechanism design problem for two scenar...

0 Amirreza Zamani, et al. ∙

research

∙ 02/07/2022

Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning

Machine learning (ML) is a key technique for big-data-driven modelling a...

0 Hao Chen, et al. ∙

research

∙ 02/06/2022

Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering

We consider the problem of estimating a continuous-time Gauss-Markov sou...

0 Takashi Tanaka, et al. ∙

research

∙ 01/21/2022

Bounds for Privacy-Utility Trade-off with Non-zero Leakage

The design of privacy mechanisms for two scenarios is studied where the ...

0 Amirreza Zamani, et al. ∙

research

∙ 11/10/2021

Privacy signalling games with binary alphabets

In this paper, we consider a privacy signaling game problem for binary a...

0 Photios A. Stavrou, et al. ∙

research

∙ 10/22/2021

Federated Learning over Wireless IoT Networks with Optimized Communication and Resources

To leverage massive distributed data and computation resources, machine ...

0 Hao Chen, et al. ∙

research

∙ 09/17/2021

Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality

In this paper, we study the connection between entropic optimal transpor...

0 Shuchan Wang, et al. ∙

research

∙ 09/03/2021

Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder

We study the problem of rate-distortion-equivocation with side-informati...

0 Hamid Ghourchian, et al. ∙

research

∙ 08/30/2021

Secure Block Source Coding with Sequential Encoding

We introduce fundamental bounds on achievable cumulative rate distributi...

0 Hamid Ghourchian, et al. ∙

research

∙ 08/25/2021

Testing for directed information graphs

In this paper, we study a hypothesis test to determine the underlying di...

0 Sina Molavipour, et al. ∙

research

∙ 07/15/2021

Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix

We study a statistical signal processing privacy problem, where an agent...

0 Amirreza Zamani, et al. ∙

research

∙ 06/30/2021

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT

Edge computing provides a promising paradigm to support the implementati...

0 Wanlu Lei, et al. ∙

research

∙ 05/16/2021

Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder

We generalize the problem of controlling the interference created to an ...

0 Michail Mylonakis, et al. ∙

research

∙ 05/03/2021

Optimal Maximal Leakage-Distortion Tradeoff

Most methods for publishing data with privacy guarantees introduce rando...

0 Sara Saeidian, et al. ∙

research

∙ 03/05/2021

A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders

In this paper, we study the tradeoffs between complexity and reliability...

0 Baptiste Cavarec, et al. ∙

research

∙ 02/24/2021

A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints

Stringent constraints on both reliability and latency must be guaranteed...

0 Hasan Basri Celebi, et al. ∙

research

∙ 02/03/2021

Quadratic Signaling Games with Channel Combining Ratio

In this study, Nash and Stackelberg equilibria of single-stage and multi...

0 Serkan~Sarıtaş, et al. ∙

research

∙ 01/22/2021

Tighter expected generalization error bounds via Wasserstein distance

In this work, we introduce several expected generalization error bounds ...

5 Borja Rodríguez Gálvez, et al. ∙

research

∙ 01/18/2021

(ε, n) Fixed-Length Strong Coordination Capacity

This paper investigates the problem of synthesizing joint distributions ...

0 Giulia Cervia, et al. ∙

research

∙ 10/22/2020

A ReLU Dense Layer to Improve the Performance of Neural Networks

We propose ReDense as a simple and low complexity way to improve the per...

0 Alireza M. Javid, et al. ∙

research

∙ 10/21/2020

On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm

In this work, we unify several expected generalization error bounds base...

8 Borja Rodríguez Gálvez, et al. ∙

research

∙ 10/12/2020

Quantifying Membership Privacy via Information Leakage

Machine learning models are known to memorize the unique properties of i...

0 Sara Saeidian, et al. ∙

research

∙ 10/02/2020

Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Big data, including applications with high security requirements, are of...

0 Hao Chen, et al. ∙

research

∙ 09/29/2020

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning

We design a low complexity decentralized learning algorithm to train a r...

0 Xinyue Liang, et al. ∙

research

∙ 09/03/2020

A Design Framework for Epsilon-Private Data Disclosure

In this paper, we study a stochastic disclosure control problem using in...

0 Amirreza Zamani, et al. ∙

research

∙ 09/03/2020

Secure Strong Coordination

We consider a network of two nodes separated by a noisy channel, in whic...

0 Giulia Cervia, et al. ∙

research

∙ 09/03/2020

Remote Joint Strong Coordination and Reliable Communication

We consider a three-node network, in which two agents wish to communicat...

0 Giulia Cervia, et al. ∙

research

∙ 06/22/2020

Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks

Cell-free networks are considered as a promising distributed network arc...

0 Shaocheng Huang, et al. ∙

research

∙ 06/12/2020

On Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling

The estimation of mutual information (MI) or conditional mutual informat...

0 Sina Molavipour, et al. ∙

research

∙ 06/11/2020

A Variational Approach to Privacy and Fairness

In this article, we propose a new variational approach to learn private ...

0 Borja Rodríguez Gálvez, et al. ∙

research

∙ 06/01/2020

Latency and Reliability Limits with Decoding Complexity Constraints

One of the most important application scenarios in next-generation wirel...

0 Hasan Basri Celebi, et al. ∙

Mikael Skoglund

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