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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...
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09/12/2023
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks
In different wireless network scenarios, multiple network entities need ...
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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...
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07/06/2023
Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
The convergence of generative large language models (LLMs), edge network...
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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...
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06/20/2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
Cooperative multi-agent reinforcement learning (MARL) for navigation ena...
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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 ...
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06/10/2023
Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication
This work deals with the heterogeneous semantic-native communication (SN...
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06/02/2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations
In this paper, we investigate the problem of robust Reconfigurable Intel...
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05/22/2023
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
This paper studies the computational offloading of video action recognit...
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05/03/2023
Codesign of Edge Intelligence and Automated Guided Vehicle Control
This work presents a harmonic design of autonomous guided vehicle (AGV) ...
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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...
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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...
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12/13/2022
Enabling the Wireless Metaverse via Semantic Multiverse Communication
Metaverse over wireless networks is an emerging use case of the sixth ge...
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12/04/2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
While witnessing the noisy intermediate-scale quantum (NISQ) era and bey...
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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...
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10/30/2022
Semantic-Native Communication: A Simplicial Complex Perspective
Semantic communication enables intelligent agents to extract meaning (or...
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10/28/2022
Differentially Private CutMix for Split Learning with Vision Transformer
Recently, vision transformer (ViT) has started to outpace the convention...
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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...
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08/29/2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
In this paper, we propose to solve a regularized distributionally robust...
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07/20/2022
Slimmable Quantum Federated Learning
Quantum federated learning (QFL) has recently received increasing attent...
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07/08/2022
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Classical medium access control (MAC) protocols are interpretable, yet t...
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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...
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06/28/2022
Social-aware Cooperative Caching in Fog Radio Access Networks
In this paper, the cooperative caching problem in fog radio access netwo...
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06/21/2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning
Classical and centralized Artificial Intelligence (AI) methods require m...
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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...
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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...
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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 ...
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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...
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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...
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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 ...
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06/06/2022
Learning Generalized Wireless MAC Communication Protocols via Abstraction
To tackle the heterogeneous requirements of beyond 5G (B5G) and future 6...
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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...
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05/08/2022
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is...
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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...
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03/26/2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Federated learning (FL) is a key enabler for efficient communication and...
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02/16/2022
Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) ha...
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02/04/2022
Life-long Learning for Reasoning-based Semantic Communication
Semantic communication is an emerging paradigm that focuses on understan...
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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...
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01/13/2022
THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs
Envisioned use cases of unmanned aerial vehicles (UAVs) impose new servi...
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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...
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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...
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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...
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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...
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12/03/2021
Learning Emergent Random Access Protocol for LEO Satellite Networks
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs)...
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11/28/2021
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Next-generation wireless systems are rapidly evolving from communication...
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10/04/2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous dev...
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08/20/2021
Federated Distributionally Robust Optimization for Phase Configuration of RISs
In this article, we study the problem of robust reconfigurable intellige...
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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...
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08/12/2021