Kaigui Bian

FLASH: Heterogeneity-Aware Federated Learning at Scale

2022 · IEEE Transactions on Mobile Computing

Federated learning (FL) becomes a promising machine learning paradigm. The impact of heterogeneous hardware specifications and dynamic states on the FL process has not yet been studied systematically. This paper presents the first large-scale study …

Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement

2024

Cross-Domain Recommendation (CDR) is a promising technique to alleviate data sparsity by transferring knowledge across domains. However, the negative transfer issue in the presence of numerous domains has received limited attention. Most existing methods transfer …