Fetching the paper…
Reading the bibliography…
Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important components in future networks.
“Toward Self-Learning Edge Intelligence in 6G”
Yong Xiao et al · 2020
Earlier work this paper cites.
“Distributed Learning in Wireless Networks: Recent Progress and Future Challenges”
M. Chen, D. Gündüz and K. Huang · 2021
Earlier work this paper cites.
“JMSNAS: Joint model split and neural architecture search for learning over mobile edge networks”
Yuqing Tian et al · 2022
Earlier work this paper cites.
“MocoSFL: enabling cross-client collaborative self-supervised learning”
J. Li et al · 2022
Earlier work this paper cites.
“Multimodal contrastive learning with LiMoE: the language-image mixture of experts”
B. Mustafa, C. Riquelme and J. Puigcerver · 2022
Earlier work this paper cites.
“Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services”
M. Xu, H. Du and D. Niyato · 2023
Cited alongside, same era.
“Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration”
Xiang Chen et al · 2023
Cited alongside, same era.
“Big AI models for 6G wireless networks: Opportunities, challenges, and research directions”
Z. Chen, Z. Zhang and Z. Yang · 2023
Cited alongside, same era.
“An Overview of the 3GPP Study on Artificial Intelligence for 5G New Radio”
X. Lin · 2023
Cited alongside, same era.
“Knowledge Distillation of Large Language Models”
Y. Gu et al · 2023
Cited alongside, same era.
“Introducing Pathways: A next-generation AI architecture” https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture/
Cited in the paper.
“Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing”
W. Xu, Z. Yang and D… Ng · 2023
Later among the works it cites.
“Over-the-Air Split Machine Learning in Wireless MIMO Networks”
Y. Yang, Z. Zhang and Y. Tian · 2023
Later among the works it cites.
“Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners”
Zitian Chen et al · 2023
Later among the works it cites.
“Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models”
Zhiqiu Lin et al · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…