Integration of TinyML and LargeML: A Survey of 6G and Beyond

20 May 2025

Papers citing "Integration of TinyML and LargeML: A Survey of 6G and Beyond"

6 / 6 papers shown

Title
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis Yanfei Li Teng Yin Wenyi Shang Jing Liu Xi Wang Kaiyang Zhao MedIm 311 1 0 05 Mar 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless NetworksIEEE Transactions on Communications (IEEE Trans. Commun.), 2025 Li Yang Shimaa A. Naser Abdallah Shami Sami Muhaidat Lyndon Ong Merouane Debbah 263 4 0 28 Feb 2025
Encrypted Large Model Inference: The Equivariant Encryption Paradigm James Buban Hongyang Zhang Claudio Angione Harry Yang Ahmad Farhan ... Ziyi Wang Yue Zhao Arria Owlia Fielding Johnston Patrick Colangelo FedML BDL 219 3 0 03 Feb 2025
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 279 1 0 12 Nov 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge NetworksConference on Computer Communications Workshops (INFOCOM Workshops), 2024 Zuguang Li Wen Wu Shaohua Wu Wei Wang 250 9 0 08 Mar 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 657 122 0 27 Jun 2023