b'Mehdi Bennis'

research

∙ 09/20/2023

Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation

By integrating recent advances in large language models (LLMs) and gener...

0 Hyelin Nam, et al. ∙

research

∙ 09/12/2023

Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks

In different wireless network scenarios, multiple network entities need ...

0 Marwa Chafii, et al. ∙

research

∙ 08/31/2023

Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures

In this work, we study the problem of semantic communication and inferen...

0 Qiyang Zhao, et al. ∙

research

∙ 07/06/2023

Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence

The convergence of generative large language models (LLMs), edge network...

0 Hang Zou, et al. ∙

research

∙ 07/04/2023

Tutorial-Cum-Survey on Semantic and Goal- Oriented Communication: Research Landscape, Challenges, and Future Directions

SemCom and goal-oriented SemCom are designed to transmit only semantical...

0 Tilahun M. Getu, et al. ∙

research

∙ 06/20/2023

Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction

Cooperative multi-agent reinforcement learning (MARL) for navigation ena...

0 Mohamed K. Abdelaziz, et al. ∙

research

∙ 06/20/2023

Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework

Semantic-aware communication is a novel paradigm that draws inspiration ...

0 Yong Xiao, et al. ∙

research

∙ 06/10/2023

Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication

This work deals with the heterogeneous semantic-native communication (SN...

0 Hyowoon Seo, et al. ∙

research

∙ 06/02/2023

Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations

In this paper, we investigate the problem of robust Reconfigurable Intel...

0 Charbel Bou Chaaya, et al. ∙

research

∙ 05/22/2023

Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition

This paper studies the computational offloading of video action recognit...

0 Nan Li, et al. ∙

research

∙ 05/03/2023

Codesign of Edge Intelligence and Automated Guided Vehicle Control

This work presents a harmonic design of autonomous guided vehicle (AGV) ...

0 Malith Gallage, et al. ∙

research

∙ 02/28/2023

On Learning Intrinsic Rewards for Faster Multi-Agent Reinforcement Learning based MAC Protocol Design in 6G Wireless Networks

In this paper, we propose a novel framework for designing a fast converg...

0 Luciano Miuccio, et al. ∙

research

∙ 02/15/2023

Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference

Semantic communication (SemCom) has emerged as a 6G enabler while promis...

0 Tilahun M. Getu, et al. ∙

research

∙ 12/13/2022

Enabling the Wireless Metaverse via Semantic Multiverse Communication

Metaverse over wireless networks is an emerging use case of the sixth ge...

0 Jihong Park, et al. ∙

research

∙ 12/04/2022

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

While witnessing the noisy intermediate-scale quantum (NISQ) era and bey...

0 Won Joon Yun, et al. ∙

research

∙ 12/02/2022

On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning

Recent advances in Federated Learning (FL) have paved the way towards th...

0 Stefano Savazzi, et al. ∙

research

∙ 10/30/2022

Semantic-Native Communication: A Simplicial Complex Perspective

Semantic communication enables intelligent agents to extract meaning (or...

0 Qiyang Zhao, et al. ∙

research

∙ 10/28/2022

Differentially Private CutMix for Split Learning with Vision Transformer

Recently, vision transformer (ViT) has started to outpace the convention...

0 Seungeun Oh, et al. ∙

research

∙ 09/14/2022

Predictive Closed-Loop Remote Control over Wireless Two-Way Split Koopman Autoencoder

Real-time remote control over wireless is an important-yet-challenging a...

0 Abanoub M. Girgis, et al. ∙

research

∙ 08/29/2022

DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs

In this paper, we propose to solve a regularized distributionally robust...

11 Chaouki Ben Issaid, et al. ∙

research

∙ 07/20/2022

Slimmable Quantum Federated Learning

Quantum federated learning (QFL) has recently received increasing attent...

6 Won Joon Yun, et al. ∙

research

∙ 07/08/2022

Towards Semantic Communication Protocols: A Probabilistic Logic Perspective

Classical medium access control (MAC) protocols are interpretable, yet t...

7 Sejin Seo, et al. ∙

research

∙ 07/01/2022

Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning

This article seeks for a distributed learning solution for the visual tr...

16 Sihun Baek, et al. ∙

research

∙ 06/28/2022

Social-aware Cooperative Caching in Fog Radio Access Networks

In this paper, the cooperative caching problem in fog radio access netwo...

0 Baotian Fan, et al. ∙

research

∙ 06/21/2022

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

Classical and centralized Artificial Intelligence (AI) methods require m...

10 Stefano Savazzi, et al. ∙

research

∙ 06/20/2022

MDS Codes Based Group Coded Caching in Fog Radio Access Networks

In this paper, we investigate maximum distance separable (MDS) codes bas...

0 Qianli Tan, et al. ∙

research

∙ 06/19/2022

Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks

In this paper, the placement strategy design of coded caching in fog-rad...

0 Yingqi Chen, et al. ∙

research

∙ 06/17/2022

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning

Newton-type methods are popular in federated learning due to their fast ...

14 Anis Elgabli, et al. ∙

research

∙ 06/14/2022

Bayesian Channel Estimation for Intelligent Reflecting Surface-Aided mmWave Massive MIMO Systems With Semi-Passive Elements

In this paper, we propose a Bayesian channel estimator for intelligent r...

0 In-soo Kim, et al. ∙

research

∙ 06/13/2022

Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach

In this paper, the content popularity prediction problem in fog radio ac...

6 Zhiheng Wang, et al. ∙

research

∙ 06/13/2022

Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach

The fog radio access network (F-RAN) is a promising technology in which ...

2 Lingling Zhang, et al. ∙

research

∙ 06/06/2022

Learning Generalized Wireless MAC Communication Protocols via Abstraction

To tackle the heterogeneous requirements of beyond 5G (B5G) and future 6...

13 Luciano Miuccio, et al. ∙

research

∙ 05/16/2022

Cell-Free MmWave Massive MIMO Systems with Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs

In this paper, we consider the uplink channel estimation phase and downl...

0 In-soo Kim, et al. ∙

research

∙ 05/08/2022

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is...

5 George C. Alexandropoulos, et al. ∙

research

∙ 05/03/2022

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Future AI applications require performance, reliability and privacy that...

17 Henna Kokkonen, et al. ∙

research

∙ 03/26/2022

SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks

Federated learning (FL) is a key enabler for efficient communication and...

4 Won Joon Yun, et al. ∙

research

∙ 02/16/2022

Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs

The emergent technology of Reconfigurable Intelligent Surfaces (RISs) ha...

0 Kyriakos Stylianopoulos, et al. ∙

research

∙ 02/04/2022

Life-long Learning for Reasoning-based Semantic Communication

Semantic communication is an emerging paradigm that focuses on understan...

0 Jingming Liang, et al. ∙

research

∙ 01/25/2022

Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks

Multi-access edge computing (MEC) is viewed as an integral part of futur...

2 Arian Ahmadi, et al. ∙

research

∙ 01/13/2022

THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs

Envisioned use cases of unmanned aerial vehicles (UAVs) impose new servi...

0 M. Mahdi Azari, et al. ∙

research

∙ 12/26/2021

Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

To meet the growing mobility needs in intra-city transportation, the con...

12 Tengchan Zeng, et al. ∙

research

∙ 12/11/2021

Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning

In recent years, there have been great advances in the field of decentra...

0 Shraman Pal, et al. ∙

research

∙ 12/05/2021

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding

Mobile devices are indispensable sources of big data. Federated learning...

0 Hankyul Baek, et al. ∙

research

∙ 12/05/2021

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks

This paper aims to integrate two synergetic technologies, federated lear...

0 Hankyul Baek, et al. ∙

research

∙ 12/03/2021

Learning Emergent Random Access Protocol for LEO Satellite Networks

A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs)...

0 Ju-Hyung Lee, et al. ∙

research

∙ 11/28/2021

Joint Sensing and Communication for Situational Awareness in Wireless THz Systems

Next-generation wireless systems are rapidly evolving from communication...

0 Christina Chaccour, et al. ∙

research

∙ 10/04/2021

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs

An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous dev...

12 Beatriz Soret, et al. ∙

research

∙ 08/20/2021

Federated Distributionally Robust Optimization for Phase Configuration of RISs

In this article, we study the problem of robust reconfigurable intellige...

0 Chaouki Ben Issaid, et al. ∙

research

∙ 08/17/2021

Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT

While information delivery in industrial Internet of things demands reli...

0 Chen-Feng Liu, et al. ∙

research

∙ 08/12/2021

Semantics-Native Communication with Contextual Reasoning

Spurred by a huge interest in the post-Shannon communication, it has rec...

0 Hyowoon Seo, et al. ∙

Mehdi Bennis

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