Communication

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Period ending 2026-09-21

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Communication

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Semantic Communications

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Communication Efficiency

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169 papers

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Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
May 11, 2026Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1Multi-Agent Reinforcement Learning Deep Reinforcement Learning
RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
May 11, 2026Zhen Zhang, Wanjing Zhou, Juncheng Li +3Multi-Agent Systems Communication Efficiency
Emergent Communication for Co-constructed Emotion Between Embodied Agents via Collective Predictive Coding
May 10, 2026Zehang Zhang, Nguyen Le Hoang, Tadahiro Taniguchi +1Predictive Coding Emotion
SparseRL-Sync: Lossless Weight Synchronization with ~100x Less Communication
May 8, 2026Lucas Hu, Ranchi Zhao, Isaac Zhu +4Bandwidth Constraints Model Weights
Federation of Experts: Communication Efficient Distributed Inference for Large Language Models
May 7, 2026Muhammad Shahir Abdurrahman, Chun Deng, Azalia Mirhoseini +1Mixture-Of-Expert Inference LLM Inference Efficiency
SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking
May 7, 2026Yong Xiao, Haoran Zhou, Yujie Zhou +1Semantic Communications Multi-Agent Systems
Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Media
May 7, 2026Megha Mariam K. M, Vineeth N. Balasubramanian, C. V. JawaharMultimodal Dataset Scientific Discovery
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
May 7, 2026Huchen Yang, Xinghao Dong, Dan Negrut +1Multi-Agent Systems Communication Efficiency
When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization
May 6, 2026Yalin E. Sagduyu, Tugba ErpekSemantic Communications Wireless Resource Allocation
Rational Communication Shapes Morphological Composition
May 5, 2026Fengyuan Yang, Yongqian Peng, Yuxi Ma +2Morphology Speech Evaluation
Adaptive Dual-Path Framework for Covert Semantic Communication
May 5, 2026Xi Yu, Weicai Li, Lin Yin +1Semantic Communications Dual-Path Framework
Context-Aware Wireless Token Communication via Joint Token Masking and Detection
May 4, 2026Junyong Shin, Joohyuk Park, Yongjeong Oh +3Token Communications Semantic Communications
Evolving Token Communication with Parametric Memory Network
May 3, 2026Weixuan Chen, Qianqian YangSemantic Communications Token Communications
Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
May 3, 2026Yiheng Yao, Chelsea Zou, Robert D. HawkinsNegotiation Multi-Agent Coordination
Less Interaction But More Explanation: A Communication Perspective on Agentic AI Interfaces
May 2, 2026Eunchae Jang, S. Shyam SundarAgentic Systems Human Oversight
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
May 2, 2026Jing Dong, Prakirt Raj Jhunjhunwala, Yash KanoriaAgentic Search Communication Efficiency
Continual Learning of Feedback-based Molecular Communication
May 1, 2026Siddhant Setia, Junichi Suzuki, Tadashi NakanoEfficient Continual Learning Continual Learning Methods
Breaking the Communication-Accuracy Trade-off: A Sparsified Information Diffusion Framework for Multi-Agent Collaborative Perception
May 1, 2026Jirong Zha, Chenyu Zhao, Nan Zhou +5Collaborative Perception Particle Filters
Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
May 1, 2026Seyed Mohammad Azimi-Abarghouyi, Mehdi Bennis, Leandros TassiulasFederated Learning Heterogeneous Edge Devices
Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
Apr 29, 2026Cyril Shih-Huan Hsu, Wig Yuan-Cheng Cheng, Chrysa PapagianniEdge Computing Large Vision Language Models
FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices
Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated Learning Large Language Model Quantization
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
Apr 28, 2026Valentin Cuzin-Rambaud, Laetitia Matignon, Maxime MorgeMulti-Agent Reinforcement Learning Gnn-Based Detectors
SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication
Apr 28, 2026Yunhao Wang, Shuai Ma, Bin Shen +4Semantic Communications Wireless Resource Allocation
Designing Robots to Support Parent-Child Connections: Opportunities Through Robot-Mediated Communication
Apr 27, 2026Michael F Xu, Bengisu Cagiltay, Yaxin Hu +2Human-Robot Interaction Family
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
Apr 25, 2026Emre Ardıç, Yakup GençFederated Learning Differential Privacy
Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning
Apr 25, 2026Xiao Yang, Yuni Lai, Gaolei Li +4Backdoor Attacks Transformation-Based Attacks
Semantic Error Correction and Decoding for Short Block Codes
Apr 24, 2026Jiafu Hao, Chentao Yue, Wanchun Liu +2Source-Channel Coding Error Correction
Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
Apr 23, 2026Ye Yu, Heming Liu, Haibo Jin +3Multi-Agent Large Language Model Multi-Agent Reasoning
Sema: Semantic Transport for Real-Time Multimodal Agents
Apr 22, 2026Jiaying Meng, Bojie LiSemantic Communications Multimodal Agents
Optimally Bridging Semantics and Data: Generative Semantic Communication via Schrödinger Bridge
Apr 20, 2026Dahua Gao, Ruichao Liu, Minxi Yang +3Large-Scale Image Generation Schrödinger Bridges
UCCL-Zip: Lossless Compression Supercharged GPU Communication
Apr 19, 2026Shuang Ma, Chon Lam Lao, Zhiying Xu +8Multi-Gpu Systems Large Language Model Compression
Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling
Apr 18, 2026Shunpu Tang, Qianqian YangSemantic Communications Posterior Sampling
ClariCodec: Optimising Neural Speech Codes for 200bps Communication using Reinforcement Learning
Apr 16, 2026Junyi Wang, Chi Zhang, Jing Qian +4Neural Audio Codecs Ultra-Low Bitrates
Practicing with Language Models Cultivates Human Empathic Communication
Mar 16, 2026Aakriti Kumar, Nalin Poungpeth, Diyi Yang +2Empathy Large Language Model Performance
Mind the Style: Impact of Communication Style on Human-Chatbot Interaction
Feb 19, 2026Erik Derner, Dalibor Kučera, Aditya Gulati +2Chatbots Conversational Artificial Intelligence
SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates
Dec 6, 2025Kaile Wang, Lijun He, Haisheng Fu +2Generative Image Compression Large-Scale Image Generation
Enabling Agents to Communicate Entirely in Latent Space
Nov 12, 2025Zhuoyun Du, Runze Wang, Huiyu Bai +6Efficient Latent Reasoning Communication Efficiency
Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
Oct 29, 2025Run Peng, Ziqiao Ma, Amy Pang +5Large Language Model Agents Collaboration
Benefits and Limitations of Communication in Multi-Agent Reasoning
Oct 14, 2025Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi +2Multi-Agent Reasoning Multi-Hop Reasoning
Post-training for Efficient Communication via Convention Formation
Aug 8, 2025Yilun Hua, Evan Wang, Yoav ArtziLarge Language Model Post-Training Multi-Turn Interactions
NoLoCo: No-all-reduce Low Communication Training Method for Large Models
Jun 12, 2025Jari Kolehmainen, Nikolay Blagoev, Semih Kara +3Large Models Parallel
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
May 16, 2025Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +2Semantic Communications Token Communications
Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
Feb 17, 2025Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +3Semantic Communications Token Communications
Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation
Feb 12, 2025Xiang Chen, Shuying Gan, Chenyuan Feng +2Semantic Communications Transmission
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Semantic Communications Wireless Networks
Empirical evidence of Large Language Model's influence on human spoken communication
Sep 3, 2024Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7Linguistics Chatbots
Dancing with REEM-C: A robot-to-human physical-social communication study
Aug 9, 2024Marie Charbonneau, Francisco Javier Andrade Chavez, Katja MombaurHuman-Robot Interaction Communication
VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise
Date pendingSina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar +5Simulated Patients Diagnostic Benchmark
The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation
Date pendingMakoto Fukushima, Hua-Dong Xiong, Ehsan Moradi PariCommunication Efficiency Artificial Intelligence Benchmarks

May 11, 2026 · eess.SYJ/K move · Enter open · S save

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner, Dominik Baumann

Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland · Center for Artificial Intelligence, Helsinki, Finland

Event-triggered control provides a mechanism for avoiding excessive use of constrained communication bandwidth in networked multi-agent systems. However, most existing methods rely on accurate system models, which may be unavailable in practice. In this work, we propose a model-free, priority-driven reinforcement learning algorithm that learns communication priorities and control policies jointly from data in decentralized multi-agent systems. By learning communication priorities, we circumvent the hybrid action space typical in event-triggered control with binary communication decisions. We evaluate our algorithm on benchmark tasks and demonstrate that it outperforms the baseline method.

Multi-Agent Reinforcement Learning Deep Reinforcement Learning Multi-Agent Systems Communication

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