9 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 3 cited
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
Yan-Ann Chen, Guan-Lin Chen
Federated learning is a novel decentralized learning architecture. During the training process, the client and server must continuously upload and receive model parameters, which c…
cs.LG2025★ 9 cited
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee, Han-Chang Chou, Yan-Ann Chen
Federated learning is a distributed machine learning framework to collaboratively train a global model without uploading privacy-sensitive data onto a centralized server. Usually,…
cs.LG2025
Semi-Self Representation Learning for Crowdsourced WiFi Trajectories
Yu-Lin Kuo, Yu-Chee Tseng, Ting-Hui Chiang +1
WiFi fingerprint-based localization has been studied intensively. Point-based solutions rely on position annotations of WiFi fingerprints. Trajectory-based solutions, however, requ…