Weiren Yu

DPS: A DSM-based Parameter Server for Machine Learning

2017

To solve the problem of efficient storing and updating of model parameters in the learning process, the parameter server is concerned as a high-throughput distributed machine learning (ML) architecture with the emergence of big models …

LDP-IDS: Local Differential Privacy for Infinite Data Streams

2022 · Proceedings of the 2022 International Conference on Management of Data

Local differential privacy (LDP) is promising for private streaming data collection and analysis. However, existing few LDP studies over streams either apply to finite streams only or may suffer from insufficient protection. This paper investigates …

UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive Edges

2025

While Personalised PageRank (PPR) is widely used for ranking nodes in certain graphs, research on PPR for uncertain graphs remains limited. Real-world graphs often exhibit uncertainty in some edges with interdependent probabilities. The best-of-breed work …