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Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities

https://doi.org/10.1145/3742891
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Enterprise Application Integration
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From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
inferredcites →https://doi.org/10.1109/comsnets.2015.7098706openalex-snapshot
A pub/sub based architecture to support public healthcare data exchange
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Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
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Edge Computing: The Computing Infrastructure for the Smart Megacities of the Future
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Large Language Models for Networking: Applications, Enabling Techniques, and Challenges
inferredcites →https://doi.org/10.1109/mwc.004.2200050openalex-snapshot
Semantic Communication Meets Edge Intelligence
inferredcites →https://doi.org/10.1109/ojcoms.2024.3362271openalex-snapshot
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
inferredcites →https://doi.org/10.1109/ojcoms.2024.3456549openalex-snapshot
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
inferredcites →https://doi.org/10.1109/sgcf.2019.8782370openalex-snapshot
Content-Based Publish/Subscribe Communication Model between IoT Devices in Smart City Environment
inferredcites →https://doi.org/10.1109/tkde.2022.3142856openalex-snapshot
On Distributed Computing Continuum Systems
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PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting
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Model Pruning Enables Efficient Federated Learning on Edge Devices
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Proceedings of the fifth ACM/IEEE Workshop on Hot Topics in Web Systems and Technologies
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Reducing the subscription latency in reliable causal publish-subscribe systems
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2020 the 3rd International Conference on Computing and Big Data
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Measuring the Carbon Intensity of AI in Cloud Instances
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Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
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Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
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Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
inferredcites →https://doi.org/10.1145/3663485openalex-snapshot
Developing Time Series Forecasting Models with Generative Large Language Models
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Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment
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Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
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Towards Lifelong Learning of Large Language Models: A Survey
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inferredcites →https://doi.org/10.24963/ijcai.2024/883openalex-snapshot
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
inferredcites →https://doi.org/10.24963/ijcai.2024/921openalex-snapshot
Large Language Models for Time Series: A Survey
inferredcites →https://doi.org/10.36227/techrxiv.23536440openalex-snapshot
Large Language Models for Telecom: The Next Big Thing?
inferredcites →https://doi.org/10.48550/arxiv.2111.00364openalex-snapshot
Sustainable AI: Environmental Implications, Challenges and Opportunities
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2204.14198openalex-snapshot
Flamingo: a Visual Language Model for Few-Shot Learning
inferredcites →https://doi.org/10.48550/arxiv.2205.02302openalex-snapshot
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
inferredcites →https://doi.org/10.48550/arxiv.2211.02001openalex-snapshot
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
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AIKernel Semantic DSL Compiler and Deterministic Agent Execution Architecture
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-38803-2_26openalex-snapshot
Benchmarking Publisher-Subscriber Frameworks with Trace Replay of Fine-Grained Source Code Changes
inferred← citeshttps://doi.org/10.1007/s00607-026-01724-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comcom.2024.03.018openalex-snapshot
PrioMQTT: A prioritized version of the MQTT protocol
inferred← citeshttps://doi.org/10.1016/j.comcom.2024.06.006openalex-snapshot
BBR-based and fairness-guaranteed congestion control and packet scheduling for MPQUIC over heterogeneous networks
inferred← citeshttps://doi.org/10.1038/s41598-026-37401-5openalex-snapshot
AI driven system for enhancing consumer electronics through maintenance personalization and security
inferred← citeshttps://doi.org/10.1109/edge67623.2025.00013openalex-snapshot
iKafka: Intelligent Storage Management for Adaptive Event Streaming in Kafka
inferred← citeshttps://doi.org/10.1109/icarc68737.2026.11453544openalex-snapshot
Evaluation of an Explainable LLM-Powered Chat-Ops for CI/CD Pipeline Diagnostics and Developer Support
inferred← citeshttps://doi.org/10.1109/mc.2024.3382073openalex-snapshot
Language Artificial Intelligence at a Crossroads: Deciphering the Future of Small and Large Language Models
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3645463openalex-snapshot
Segment Routing Header (SRH)-Aware Traffic Engineering in Hybrid IP/SRv6 Networks With Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/wf-iot64238.2025.11270701openalex-snapshot
Performance Measurements in the AI-Centric Computing Continuum Systems
inferred← citeshttps://doi.org/10.1145/3773274.3777421openalex-snapshot
Agentic Edge Intelligence: A Research Agenda
inferred← citeshttps://doi.org/10.1145/3774946openalex-snapshot
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems
inferred← citeshttps://doi.org/10.1145/3785657openalex-snapshot
Decentralized Federated Learning with Non-IID Data: Challenges, Trends, and Future Opportunities
inferred← citeshttps://doi.org/10.2139/ssrn.4872730openalex-snapshot
Publish/Subscribe for Edge Intelligence: Systematic Review and Future Prospects
inferred← citeshttps://doi.org/10.2139/ssrn.6675166openalex-snapshot
Recovering trust through Showing Competence & Building Rapport: You Need to Provide Corrective Answer in Formal Tone
inferred← citeshttps://doi.org/10.35784/iapgos.8512openalex-snapshot
Model and tools for content generation and publication based on large language models
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