关注
Tiansheng Huang
Tiansheng Huang
School of Computer Science, Georgia Institute of Technology
在 gatech.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
An efficiency-boosting client selection scheme for federated learning with fairness guarantee
T Huang, W Lin, W Wu, L He, K Li, AY Zomaya
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1552-1564, 2020
972020
An ant colony optimization-based multiobjective service replicas placement strategy for fog computing
T Huang, W Lin, C Xiong, R Pan, J Huang
IEEE Transactions on Cybernetics 51 (11), 5595-5608, 2020
462020
Stochastic client selection for federated learning with volatile clients
T Huang, W Lin, L Shen, K Li, AY Zomaya
IEEE Internet of Things Journal 9 (20), 20055-20070, 2022
282022
Achieving personalized federated learning with sparse local models
T Huang, S Liu, L Shen, F He, W Lin, D Tao
arXiv preprint arXiv:2201.11380, 2022
102022
Energy-efficient computation offloading for UAV-assisted MEC: A two-stage optimization scheme
W Lin, T Huang, X Li, F Shi, X Wang, CH Hsu
ACM Transactions on Internet Technology (TOIT) 22 (1), 1-23, 2021
62021
Adaptive processor frequency adjustment for mobile-edge computing with intermittent energy supply
T Huang, W Lin, X Hong, X Wang, Q Wu, R Li, CH Hsu, AY Zomaya
IEEE Internet of Things Journal 9 (10), 7446-7462, 2021
62021
Asynchronous online service placement and task offloading for mobile edge computing
X Li, X Zhang, T Huang
2021 18th Annual IEEE International Conference on Sensing, Communication …, 2021
52021
Fedspeed: Larger local interval, less communication round, and higher generalization accuracy
Y Sun, L Shen, T Huang, L Ding, D Tao
arXiv preprint arXiv:2302.10429, 2023
42023
Fusion of Global and Local Knowledge for Personalized Federated Learning
T Huang, L Shen, Y Sun, W Lin, D Tao
arXiv preprint arXiv:2302.11051, 2023
12023
On Heterogeneously Distributed Data, Sparsity Matters
T Huang, S Liu, L Shen, F He, W Lin, D Tao
系统目前无法执行此操作，请稍后再试。
文章 1–10