The Internet of Things in the Era of Generative AI: Vision and Challenges

Z. Zhou et al., "Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing," Proceedings of the IEEE, vol. 107, no. 8, pp. 1738–1762, 2019

2019

Earlier work this paper cites.

Alam, S. et al., "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction," Conference on Neural Information Processing Systems (NeurIPS), 2022

2022

Earlier work this paper cites.

Y. Cao et al., "A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt," 2023, arXiv:2303.04226

Original

2023

Earlier work this paper cites.

W. X. Zhao et al., "A survey of large language models," 2023, arXiv:2303.18223

Original

2023

Earlier work this paper cites.

S. Yin et al., "A survey on multimodal large language models," 2023, arXiv:2306.13549

Original

2023

Earlier work this paper cites.

V. Chamola et al., "Beyond Reality: The Pivotal Role of Generative AI in the Metaverse," 2023, arXiv:2308.06272

Original

2023

Earlier work this paper cites.

F. Zeng et al., "Large language models for robotics: A survey," 2023, arXiv:2311.07226

Original

2023

Cited alongside, same era.

Peng, C. et al, "A study of generative large language model for medical research and healthcare," npj Digit. Med. 6, 210, 2023

2023

Cited alongside, same era.

Yi, R. et al., "EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models," 2023, arXiv:2308.14352

Original

2023

Cited alongside, same era.

X. Zhu et al., "A survey on model compression for large language models," 2023, arXiv:2308.07633

Original

2023

Cited alongside, same era.

Karapantelakis et al., "Generative AI in mobile networks: a survey," Ann. Telecommun. 79, 15–33, 2024

2024

Cited alongside, same era.

Wan, Zhongwei et al., "MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation," 2024, arXiv:2403.04945

Original

2024

Closest in time.

M.A. Ferrag et al., "Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices," 2024, arXiv:2306.14263

Original

2024

Closest in time.

Wan, Z. et al., "Efficient Large Language Models: A Survey," Transactions on Machine Learning Research (TMLR), 2024

2024

Closest in time.

Li, Y. et al., "Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security," 2024, arXiv:2401.05459

Original

2024

Closest in time.

Peng, D. et al., "PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs," 2024, arXiv:2407.01031