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cs.LG2025
Meta-SimGNN: Adaptive and Robust WiFi Localization Across Dynamic Configurations and Diverse Scenarios
Qiqi Xiao, Ziqi Ye, Yinghui He +2
To promote the practicality of deep learning-based localization, existing studies aim to address the issue of scenario dependence through meta-learning. However, these studies prim…
cs.LG2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen, Qiang Yang, Kaiyan Cui +4
Federated Learning (FL) facilitates collaborative training of a shared global model without exposing clients' private data. In practical FL systems, clients (e.g., edge servers, sm…