4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning
Jianhua Wang, Yinlin Su
Federated Learning (FL) facilitates collaborative model training while preserving data locality; however, the exchange of gradients renders the system vulnerable to Gradient Invers…
cs.NI2024
Federated Deep Q-Learning and 5G load balancing
Hsin Lin, Yi-Kang Su, Hong-Qi Chen +1
Despite advances in cellular network technology, base station (BS) load balancing remains a persistent problem. Although centralized resource allocation methods can address the loa…
cs.GT2021★ 4 cited
Game-based Pricing and Task Offloading in Mobile Edge Computing Enabled Edge-Cloud Systems
Yi Su, Wenhao Fan, Yuan'an Liu +1
As a momentous enabling of the Internet of things (IoT), mobile edge computing (MEC) provides IoT mobile devices (MD) with powerful external computing and storage resources. Howeve…