mlsanityData to 7 Oct 2026

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments

arXiv 2404.12486 ↗First posted 18 Apr 2024cs.DC cs.AI cs.ETcited by 4

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Abstract (arXiv)

This article introduces Follow-Me AI, a concept designed to enhance user interactions with smart environments, optimize energy use, and provide better control over data captured by these environments. Through AI agents that accompany users, Follow-Me AI negotiates data management based on user consent, aligns environmental controls as well as user communication and computes resources available in the environment with user preferences, and predicts user behavior to proactively adjust the smart environment. The manuscript illustrates this concept with a detailed example of Follow-Me AI in a smart campus setting, detailing the interactions with the building's management system for optimal comfort and efficiency. Finally, this article looks into the challenges and opportunities related to Follow-Me AI.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 10 of its 29 references that are in the map. First posted on arXiv 18 Apr 2024.

Builds on

10 of 29 references.

References · 10

  1. 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agentscited by 329
  2. 2023Large Language Models Empowered Autonomous Edge AI for Connected Intelligencecited by 55
  3. 2023Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architecturescited by 25
  4. 2023AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systemscited by 19
  5. 2022Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestrationcited by 12
  6. 2024The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directionscited by 9
  7. 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewcited by 6
  8. 2023Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunitiescited by 5
  9. 2023How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigmcited by 4
  10. 2022Follow-Me Cloud: When Cloud Services Follow Mobile Userscited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2025UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spacescited by 4
  2. 2024Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Surveycited by 2
  3. 2025Agentic TinyML for Intent-aware Handover in 6G Wireless Networkscited by 2
  4. 2026Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessingcited by 0