Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT

28 October 2021

Papers citing "Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT"

7 / 7 papers shown

Title
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 22 13 0 29 Apr 2024
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 10 22 0 27 Sep 2023
Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems Noman Bashir Yasra Chandio David E. Irwin Fatima M. Anwar Jeremy Gummeson Prashant J. Shenoy 14 2 0 01 May 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 25 13 0 16 Feb 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 22 31 0 01 Jan 2023
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 42 71 0 12 Sep 2021
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 63 598 0 02 Sep 2019