9 citations · 12 across the 5 of their papers we have counts for
4 papers · 1 filter
Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin
Ming-Lun Lee, Fu-Shiang Yang, Cheng-Kuan Lin +3
Federated learning (FL) enables clients to collaboratively train a shared model in a distributed manner, setting it apart from traditional deep learning paradigms. However, most ex…
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…
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,…
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…