8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
Jialiang Han, Yudong Han, Gang Huang +1
Federated learning (FL) is an emerging promising paradigm of privacy-preserving machine learning (ML). An important type of FL is cross-silo FL, which enables a small scale of orga…
cs.LG2022★ 8 cited
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
Jialiang Han, Yun Ma, Yudong Han
Federated learning (FL) is an emerging promising privacy-preserving machine learning paradigm and has raised more and more attention from researchers and developers. FL keeps users…
cs.IR2021
: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era
Jialiang Han, Yun Ma
Mobile devices enable users to retrieve information at any time and any place. Considering the occasional requirements and fragmentation usage pattern of mobile users, temporal rec…