Xun Liu

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation

2024

Side-information integrated sequential recommendation incorporates supplementary information to alleviate the issue of data sparsity. The state-of-the-art works mainly leverage some side information to improve the attention calculation to learn user representation more accurately. However, there …

RCEFL: Reputation-based Communication-aware Optimization of Federated Learning

2024

Federated learning (FL) is a privacy-preserving distributed machine learning paradigm, where multiple devices holding local datasets collaborate to train a general global model without disclosing data. Instead of submitting raw data as in centralized training, …