27 citations · 49 across the 10 of their papers we have counts for
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cs.LG2026
UME: A Unified Meta-Generalization Framework for Cross-Domain ETA
Duo Wang, Qiong Wu, Jianguo Wu +9
Accurate Estimated Time of Arrival (ETA) prediction on checkout page is crucial in instant logistics for enhancing user satisfaction, optimizing dispatching, and controlling operat…
cs.LG2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Guangjing Huang, Qiong Wu, Jingyi Li +1
Federated learning (FL) has emerged as a promising paradigm that enables clients to collaboratively train a shared global model without uploading their local data. To alleviate the…
cs.LG2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout
Zhiying Feng, Xu Chen, Qiong Wu +3
Federated Learning (FL) requires frequent exchange of model parameters, which leads to long communication delay, especially when the network environments of clients vary greatly. M…