Cover Image

Semantic Multiplexing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdi, Mohammad, Meneghello, Francesca, Restuccia, Francesco
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning Networking and Internet Architecture Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
by: Furutanpey, Alireza, et al.
Published: (2024)

AirGS: Real-Time 4D Gaussian Streaming for Free-Viewpoint Video Experiences
by: Wang, Zhe, et al.
Published: (2025)

FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
by: Furutanpey, Alireza, et al.
Published: (2024)

A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks
by: Mallik, Anik, et al.
Published: (2024)

Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks
by: Temiz, Fatih, et al.
Published: (2025)

Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks
by: Demir, Utku, et al.
Published: (2025)

Coordinated Anti-Jamming Resilience in Swarm Networks via Multi-Agent Reinforcement Learning
by: Abolhassani, Bahman, et al.
Published: (2025)

UCCL-EP: Portable Expert-Parallel Communication
by: Mao, Ziming, et al.
Published: (2025)

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
by: Vaishnav, Shubham, et al.
Published: (2025)

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
by: Lin, Zheng, et al.
Published: (2025)

Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
by: Sun, Tingyang, et al.
Published: (2025)

Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning
by: Yu, Zhiyong, et al.
Published: (2025)

Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
by: Wu, Fei, et al.
Published: (2025)

Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks
by: Zhang, Han, et al.
Published: (2024)

Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
by: Zeng, Liekang, et al.
Published: (2024)

Fedstellar: A Platform for Decentralized Federated Learning
by: Beltrán, Enrique Tomás Martínez, et al.
Published: (2023)

Early-Exit meets Model-Distributed Inference at Edge Networks
by: Colocrese, Marco, et al.
Published: (2024)

Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference
by: Sharma, Pragya, et al.
Published: (2026)

Federated Continual Learning for Edge-AI: A Comprehensive Survey
by: Wang, Zi, et al.
Published: (2024)

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)

Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
by: Ye, Shengyuan, et al.
Published: (2024)

Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
by: Lin, Zheng, et al.
Published: (2024)

Edge-device Collaborative Computing for Multi-view Classification
by: Palena, Marco, et al.
Published: (2024)

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
by: Ye, Shengyuan, et al.
Published: (2024)

ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G
by: Shokrnezhad, Masoud, et al.
Published: (2024)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
by: Tang, Zhenheng, et al.
Published: (2024)

$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
by: Ohta, Shoki, et al.
Published: (2023)

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
by: Zeng, Liekang, et al.
Published: (2024)

HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
by: Zheng, Peirong, et al.
Published: (2026)

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
by: Koutsoubis, Nikolas, et al.
Published: (2024)

FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
by: Furutanpey, Alireza, et al.
Published: (2023)

FedD2S: Personalized Data-Free Federated Knowledge Distillation
by: Atapour, Kawa, et al.
Published: (2024)

Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions
by: Shokrnezhad, Masoud, et al.
Published: (2024)

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
by: Lapkovskis, Alfreds, et al.
Published: (2025)

OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagation
by: Du, Kuntai, et al.
Published: (2023)

Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
by: Deng, Akuen Akoi, et al.
Published: (2026)

TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
by: Sharma, Vijay Pratap, et al.
Published: (2026)

Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
by: Yang, Peng, et al.
Published: (2025)

Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies
by: Shi, Yuanming, et al.
Published: (2025)

Hierarchical Learning and Computing over Space-Ground Integrated Networks
by: Zhu, Jingyang, et al.
Published: (2024)