Zhipeng Wang

A New Matching Structure and Interval Division on Content Based Publish/Subscribe System

2015

In the content based publish/subscribe system, the efficiency of matching algorithm impact the integral performance directly. In order to achieve efficient matching and low forwarding, there must be a good matching structure. Most content-based publish/subscribe …

Unbiased Sequential Recommendation with Latent Confounders

2022 · Proceedings of the ACM Web Conference 2022

Sequential recommendation holds the promise of understanding user preference by capturing successive behavior correlations. Existing research focus on designing different models for better fitting the offline datasets. However, the observational data may have been contaminated …

Sequential Recommendation with Decomposed Item Feature Routing

2022 · Proceedings of the ACM Web Conference 2022

Sequential recommendation basically aims to capture user evolving preference. Intuitively, a user interacts with an item usually because of some specific feature, and user evolving preference is essentially determined by a series of important features …

zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning

2024 · IEEE Transactions on Big Data

Federated learning (FL) is a machine learning paradigm, which enables multiple and decentralized clients to collaboratively train a model under the orchestration of a central aggregator. FL can be a scalable machine learning solution inbig …