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8 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Secure Forward Aggregation for Vertical Federated Neural Networks

    Vertical federated learning (VFL) is attracting much attention because it enables cross-silo data cooperation in a privacy-preserving manner. While most research works in VFL focus on linear and tree models, d...

    Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun **… in Trustworthy Federated Learning (2023)

  2. No Access

    Chapter and Conference Paper

    Practical and Secure Federated Recommendation with Personalized Mask

    Federated recommendation addresses the data silo and privacy problems altogether for recommender systems. Current federated recommender systems mainly utilize cryptographic or obfuscation methods to protect th...

    Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo… in Trustworthy Federated Learning (2023)

  3. No Access

    Chapter and Conference Paper

    Secure Efficient Federated KNN for Recommendation Systems

    K-nearest neighbors (KNN) has been successfully used for recommendation, but querying neighbors of high quality is nearly impossible when the feature space is small or has limited training data. However, due t...

    Zhaorong Liu, Leye Wang, Kai Chen in Advances in Natural Computation, Fuzzy Sys… (2021)

  4. No Access

    Chapter and Conference Paper

    Mobile Crowd-Sensing System Based on Participant Selection

    Mobile Crowdsensing (MCS) is often accompanied by various adverse objectives when performing data collection, which makes it difficult to collect accurate data of the entire target area with low cost. Therefor...

    Chunyu Tu, Lei Han, Leye Wang, Zhiyong Yu in Green, Pervasive, and Cloud Computing (2020)

  5. Article

    Special issue on extracting crowd intelligence from pervasive and social big data

    Leye Wang, Vincent Gauthier, Guanling Chen… in Journal of Ambient Intelligence and Humani… (2018)

    Download PDF (457 KB) View Article

  6. No Access

    Article

    CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

    Crime is a complex social issue impacting a considerable number of individuals within a society. Preventing and reducing crime is a top priority in many countries. Given limited policing and crime reduction re...

    Dingqi Yang, Terence Heaney, Alberto Tonon, Leye Wang… in World Wide Web (2018)

  7. No Access

    Article

    GP-selector: a generic participant selection framework for mobile crowdsourcing systems

    Participant selection is a common and crucial function for mobile crowdsourcing (MCS) systems or platforms. This paper introduces a generic framework, named GP-Selector, to handle the participant selection fro...

    Jiangtao Wang, Yasha Wang, Leye Wang, Yuanduo He in World Wide Web (2018)

  8. No Access

    Article

    Real-time and generic queue time estimation based on mobile crowdsensing

    People often have to queue for a busy service in many places around a city, and knowing the queue time can be helpful for making better activity plans to avoid long queues. Traditional solutions to the queue t...

    Jiangtao Wang, Yasha Wang, Daqing Zhang, Leye Wang… in Frontiers of Computer Science (2017)