Deniz Gündüz

research

∙ 06/01/2023

Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback

Data-driven deep learning based code designs, including low-complexity n...

0 Emre Ozfatura, et al. ∙

research

∙ 05/23/2023

Sustainable Edge Intelligence Through Energy-Aware Early Exiting

Deep learning (DL) models have emerged as a promising solution for Inter...

0 Marcello Bullo, et al. ∙

research

∙ 05/22/2023

DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission

This paper presents a novel vision transformer (ViT) based deep joint so...

0 Chenghong Bian, et al. ∙

research

∙ 05/22/2023

The Rate-Distortion-Perception Trade-off with Side Information

In image compression, with recent advances in generative modeling, the e...

0 Yassine Hamdi, et al. ∙

research

∙ 05/17/2023

Unsourced Massive Access-Based Digital Over-the-Air Computation for Efficient Federated Edge Learning

Over-the-air computation (OAC) is a promising technique to achieve fast ...

0 Li Qiao, et al. ∙

research

∙ 05/16/2023

Conditional Rate-Distortion-Perception Trade-Off

Recent advances in machine learning-aided lossy compression are incorpor...

0 Xueyan Niu, et al. ∙

research

∙ 05/14/2023

Semantic Communication of Learnable Concepts

We consider the problem of communicating a sequence of concepts, i.e., u...

0 Francesco Pase, et al. ∙

research

∙ 02/16/2023

AirGNN: Graph Neural Network over the Air

Graph neural networks (GNNs) are information processing architectures th...

0 Zhan Gao, et al. ∙

research

∙ 01/27/2023

Information-Theoretic Privacy-Preserving Schemes Based On Perfect Privacy

Consider a pair of random variables (X,Y) distributed according to a giv...

0 Borzoo Rassouli, et al. ∙

research

∙ 12/22/2022

Device Selection for the Coexistence of URLLC and Distributed Learning Services

Recent advances in distributed artificial intelligence (AI) have led to ...

0 Milad Ganjalizadeh, et al. ∙

research

∙ 12/08/2022

Vicious Classifiers: Data Reconstruction Attack at Inference Time

Privacy-preserving inference via edge or encrypted computing paradigms e...

0 Mohammad Malekzadeh, et al. ∙

research

∙ 12/07/2022

MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles

Federated learning (FL) is a promising approach to enable the future Int...

0 Bowen Xie, et al. ∙

research

∙ 12/02/2022

A Theory of Semantic Communication

Semantic communication is an emerging topic that has received a wide ran...

0 Yulin Shao, et al. ∙

research

∙ 11/24/2022

Generative Joint Source-Channel Coding for Semantic Image Transmission

Recent works have shown that joint source-channel coding (JSCC) schemes ...

0 Ecenaz Erdemir, et al. ∙

research

∙ 11/21/2022

Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civili...

16 Shiqiang Zhu, et al. ∙

research

∙ 11/17/2022

Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel

We consider distributed image transmission over a noisy multiple access ...

0 Selim F. Yilmaz, et al. ∙

research

∙ 11/16/2022

Deep Joint Source-Channel Coding for Semantic Communications

Semantic communications is considered as a promising technology for redu...

0 Jialong Xu, et al. ∙

research

∙ 11/03/2022

Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes

Deep neural network (DNN)-assisted channel coding designs, such as low-c...

0 Emre Ozfatura, et al. ∙

research

∙ 10/30/2022

Decentralized Channel Management in WLANs with Graph Neural Networks

Wireless local area networks (WLANs) manage multiple access points (APs)...

8 Zhan Gao, et al. ∙

research

∙ 09/30/2022

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

Channel state information (CSI) plays a critical role in achieving the p...

0 Zhengyang Hu, et al. ∙

research

∙ 09/30/2022

Sparse Random Networks for Communication-Efficient Federated Learning

One main challenge in federated learning is the large communication cost...

14 Berivan Isik, et al. ∙

research

∙ 08/21/2022

Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning

The increasing popularity of the federated learning framework due to its...

12 Kerem Ozfatura, et al. ∙

research

∙ 08/19/2022

Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications

Deep learning driven joint source-channel coding (JSCC) for wireless ima...

0 Tze-Yang Tung, et al. ∙

research

∙ 08/17/2022

Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective

Recent progress in deep learning (DL)-based joint source-channel coding ...

5 Yulin Shao, et al. ∙

research

∙ 07/24/2022

Privacy Against Inference Attacks in Vertical Federated Learning

Vertical federated learning is considered, where an active party, having...

2 Borzoo Rassouli, et al. ∙

research

∙ 07/19/2022

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Communication systems to date primarily aim at reliably communicating bi...

17 Deniz Gündüz, et al. ∙

research

∙ 07/19/2022

Over-the-Air Federated Edge Learning with Hierarchical Clustering

We examine federated learning (FL) with over-the-air (OTA) aggregation, ...

8 Ozan Aygün, et al. ∙

research

∙ 07/18/2022

Neural Distributed Image Compression with Cross-Attention Feature Alignment

We propose a novel deep neural network (DNN) architecture for compressin...

19 Nitish Mital, et al. ∙

research

∙ 07/11/2022

Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility

Bottleneck problems are an important class of optimization problems that...

31 Behrooz Razeghi, et al. ∙

research

∙ 07/07/2022

Learning-based Autonomous Channel Access in the Presence of Hidden Terminals

We consider the problem of autonomous channel access (AutoCA), where a g...

1 Yulin Shao, et al. ∙

research

∙ 06/19/2022

All you need is feedback: Communication with block attention feedback codes

Deep learning based channel code designs have recently gained interest a...

5 Emre Ozfatura, et al. ∙

research

∙ 06/16/2022

DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding

Recent works have shown that modern machine learning techniques can prov...

13 Tze-Yang Tung, et al. ∙

research

∙ 05/30/2022

AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications

Ultra-reliable short-packet communication is a major challenge in future...

2 Yulin Shao, et al. ∙

research

∙ 05/25/2022

Over-the-Air Federated Learning with Energy Harvesting Devices

We consider federated edge learning (FEEL) among mobile devices that har...

0 Ozan Aygün, et al. ∙

research

∙ 05/23/2022

Semi-Decentralized Federated Learning with Collaborative Relaying

We present a semi-decentralized federated learning algorithm wherein cli...

8 Michal Yemini, et al. ∙

research

∙ 05/08/2022

Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication

6G wireless networks are foreseen to speed up the convergence of the phy...

34 Yang Wang, et al. ∙

research

∙ 05/03/2022

Privacy Amplification via Random Participation in Federated Learning

Running a randomized algorithm on a subsampled dataset instead of the en...

3 Burak Hasircioglu, et al. ∙

research

∙ 04/26/2022

Rate-Constrained Remote Contextual Bandits

We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) p...

16 Francesco Pase, et al. ∙

research

∙ 03/20/2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

As wireless standards evolve, more complex functionalities are introduce...

16 Francesc Wilhelmi, et al. ∙

research

∙ 02/24/2022

Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying

Intermittent client connectivity is one of the major challenges in centr...

10 Michal Yemini, et al. ∙

research

∙ 02/17/2022

Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning

Federated edge learning (FEEL) is a promising distributed machine learni...

4 Yuxuan Sun, et al. ∙

research

∙ 02/16/2022

Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits

We consider the distributed stochastic gradient descent problem, where a...

17 Maximilian Egger, et al. ∙

research

∙ 02/11/2022

Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing

Internet of things (IoT) devices, such as smart meters, smart speakers a...

9 Ecenaz Erdemir, et al. ∙

research

∙ 02/10/2022

Remote Contextual Bandits

We consider a remote contextual multi-armed bandit (CMAB) problem, in wh...

3 Francesco Pase, et al. ∙

research

∙ 02/07/2022

Over-the-Air Ensemble Inference with Model Privacy

We consider distributed inference at the wireless edge, where multiple c...

16 Selim F. Yilmaz, et al. ∙

research

∙ 02/01/2022

Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message

The rapid development of Industrial Internet of Things (IIoT) technologi...

0 Shaan ul Haque, et al. ∙

research

∙ 12/22/2021

DRF Codes: Deep SNR-Robust Feedback Codes

We present a new deep-neural-network (DNN) based error correction code f...

15 Mahdi Boloursaz Mashhadi, et al. ∙

research

∙ 12/21/2021

Hierarchical Over-the-Air Federated Edge Learning

Federated learning (FL) over wireless communication channels, specifical...

12 Ozan Aygün, et al. ∙

research

∙ 12/14/2021

Progressive Feature Transmission for Split Inference at the Wireless Edge

In edge inference, an edge server provides remote-inference services to ...

0 Qiao Lan, et al. ∙

research

∙ 12/07/2021

Collaborative Learning over Wireless Networks: An Introductory Overview

In this chapter, we will mainly focus on collaborative training across w...

27 Emre Ozfatura, et al. ∙

Deniz Gündüz

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