Semantic Communication with Distribution Learning through Sequential Observations
Fuente:
arXiv
Saved in:
| Main Authors: | Lahoud, Samer, Khawam, Kinda |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks
by: Lahoud, Samer, et al.
Published: (2025)
by: Lahoud, Samer, et al.
Published: (2025)
Fragment-Level Macro-Diversity Reception in LoRaWAN Networks with LR-FHSS
by: Lahoud, Samer, et al.
Published: (2025)
by: Lahoud, Samer, et al.
Published: (2025)
Exploring LR-FHSS Modulation for Enhanced IoT Connectivity: A Measurement Campaign
by: Delplace, Alexis, et al.
Published: (2025)
by: Delplace, Alexis, et al.
Published: (2025)
Towards Realistic Waveform-Level IoT Network Simulation via IQ Mixing
by: Delplace, Alexis, et al.
Published: (2026)
by: Delplace, Alexis, et al.
Published: (2026)
Physical-Layer Analysis of LoRa Robustness in the Presence of Narrowband Interference
by: Huang, Jingxiang, et al.
Published: (2025)
by: Huang, Jingxiang, et al.
Published: (2025)
Understanding IoT Domain Names: Analysis and Classification Using Machine Learning
by: Ayoub, Ibrahim, et al.
Published: (2024)
by: Ayoub, Ibrahim, et al.
Published: (2024)
Design and Analysis of Chirp-Layered Superposition Coding for LoRa
by: Huang, Jingxiang, et al.
Published: (2026)
by: Huang, Jingxiang, et al.
Published: (2026)
Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications
by: Chao, Yu-Chieh, et al.
Published: (2025)
by: Chao, Yu-Chieh, et al.
Published: (2025)
Transformers for Green Semantic Communication: Less Energy, More Semantics
by: Mukherjee, Shubhabrata, et al.
Published: (2023)
by: Mukherjee, Shubhabrata, et al.
Published: (2023)
Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
by: Wang, Haidong, et al.
Published: (2026)
by: Wang, Haidong, et al.
Published: (2026)
Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
by: Islam, Nazmul, et al.
Published: (2024)
by: Islam, Nazmul, et al.
Published: (2024)
Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
by: Yang, Wanting, et al.
Published: (2024)
by: Yang, Wanting, et al.
Published: (2024)
Sequence Spreading-Based Semantic Communication Under High RF Interference
by: Barka, Hazem, et al.
Published: (2025)
by: Barka, Hazem, et al.
Published: (2025)
Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications
by: Li, Peizheng, et al.
Published: (2024)
by: Li, Peizheng, et al.
Published: (2024)
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things
by: Wang, Heqiang, et al.
Published: (2025)
by: Wang, Heqiang, et al.
Published: (2025)
Optimistic Learning for Communication Networks
by: Iosifidis, George, et al.
Published: (2025)
by: Iosifidis, George, et al.
Published: (2025)
Learning from the Best: Active Learning for Wireless Communications
by: Soltani, Nasim, et al.
Published: (2024)
by: Soltani, Nasim, et al.
Published: (2024)
Offline and Distributional Reinforcement Learning for Wireless Communications
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
Distributed Learning and Inference Systems: A Networking Perspective
by: Moussa, Hesham G., et al.
Published: (2025)
by: Moussa, Hesham G., et al.
Published: (2025)
Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications
by: Li, Peizheng, et al.
Published: (2025)
by: Li, Peizheng, et al.
Published: (2025)
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
by: Szczech, Kamil, et al.
Published: (2026)
by: Szczech, Kamil, et al.
Published: (2026)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback
by: Hou, I-Hong
Published: (2024)
by: Hou, I-Hong
Published: (2024)
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
by: Zeulin, Nikita, et al.
Published: (2021)
by: Zeulin, Nikita, et al.
Published: (2021)
Efficient Split Federated Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
Efficient and Optimal No-Regret Caching under Partial Observation
by: Mazziane, Younes Ben, et al.
Published: (2025)
by: Mazziane, Younes Ben, et al.
Published: (2025)
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2024)
by: Zhao, Kai, et al.
Published: (2024)
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
by: Ye, Xiaowen, et al.
Published: (2024)
by: Ye, Xiaowen, et al.
Published: (2024)
NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning
by: Fang, Zhen, et al.
Published: (2026)
by: Fang, Zhen, et al.
Published: (2026)
A Survey on Semantic Communications in Internet of Vehicles
by: Ye, Sha, et al.
Published: (2025)
by: Ye, Sha, et al.
Published: (2025)
Generative Semantic Communication: Architectures, Technologies, and Applications
by: Ren, Jinke, et al.
Published: (2024)
by: Ren, Jinke, et al.
Published: (2024)
TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
by: Manda, Haarika, et al.
Published: (2025)
by: Manda, Haarika, et al.
Published: (2025)
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
by: Ji, Maoxin, et al.
Published: (2024)
by: Ji, Maoxin, et al.
Published: (2024)
Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
by: Sun, Ruijin, et al.
Published: (2024)
by: Sun, Ruijin, et al.
Published: (2024)
Dynamic Relative Representations for Goal-Oriented Semantic Communications
by: Fiorellino, Simone, et al.
Published: (2024)
by: Fiorellino, Simone, et al.
Published: (2024)
Distributionally Robust Wireless Semantic Communication with Large AI Models
by: Le, Long Tan, et al.
Published: (2025)
by: Le, Long Tan, et al.
Published: (2025)
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
by: Zhang, Milin, et al.
Published: (2024)
by: Zhang, Milin, et al.
Published: (2024)
Latent Space Alignment for AI-Native MIMO Semantic Communications
by: Pandolfo, Mario Edoardo, et al.
Published: (2025)
by: Pandolfo, Mario Edoardo, et al.
Published: (2025)
PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
by: Feng, Wei, et al.
Published: (2026)
by: Feng, Wei, et al.
Published: (2026)
Federated Learning over a Wireless Network: Distributed User Selection through Random Access
by: Sun, Chen, et al.
Published: (2023)
by: Sun, Chen, et al.
Published: (2023)
Similar Items
-
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks
by: Lahoud, Samer, et al.
Published: (2025) -
Fragment-Level Macro-Diversity Reception in LoRaWAN Networks with LR-FHSS
by: Lahoud, Samer, et al.
Published: (2025) -
Exploring LR-FHSS Modulation for Enhanced IoT Connectivity: A Measurement Campaign
by: Delplace, Alexis, et al.
Published: (2025) -
Towards Realistic Waveform-Level IoT Network Simulation via IQ Mixing
by: Delplace, Alexis, et al.
Published: (2026) -
Physical-Layer Analysis of LoRa Robustness in the Presence of Narrowband Interference
by: Huang, Jingxiang, et al.
Published: (2025)