16 citations · 16 across the 5 of their papers we have counts for
5 papers
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
Shu Hong, Xiaojun Lin, Lingjie Duan
Federated learning (FL) enables collaborative model training through model parameter exchanges instead of raw data. To avoid potential inference attacks from exchanged parameters,…
ROSS: RObust decentralized Stochastic learning based on Shapley values
Lina Wang, Yunsheng Yuan, Feng Li +1
In the paradigm of decentralized learning, a group of agents collaborate to learn a global model using a distributed dataset without a central server; nevertheless, it is severely…
Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks
Ding Xu, Lingjie Duan, Haitao Zhao +1
Rate splitting multiple access (RSMA) provides a flexible transmission framework that can be applied in mobile edge computing (MEC) systems. However, the research work on RSMA-assi…
When NOMA Meets AIGC: Enhanced Wireless Federated Learning
Ding Xu, Lingjie Duan, Hongbo Zhu
Wireless federated learning (WFL) enables devices to collaboratively train a global model via local model training, uploading and aggregating. However, WFL faces the data scarcity/…
On Incentivizing Social Information Sharing Through Routing Games
Songhua Li, Lingjie Duan
Crowdsourcing services, such as Waze, leverage a mass of mobile users to learn massive point-of-interest (PoI) information while traveling and share it as a public good. Given that…