2 papers
eess.SY2025
Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness
Jinghong Tan, Zhichen Zhang, Kun Guo +2
Federated learning enables collaborative machine learning while preserving data privacy, but high communication and computation costs, exacerbated by statistical and device heterog…
cs.LG2025
Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
Jinghong Tan, Zhian Liu, Kun Guo +1
Federated learning (FL) provides a decentralized framework that enables universal model training through collaborative efforts on mobile nodes, such as smart vehicles in the Intern…