• Publications
  • Influence
Federated Machine Learning: Concept and Applications
TLDR
We introduce a comprehensive secure federated learning framework, which includes horizontal federatedLearning, vertical federatedlearning and federated transfer learning, and provide a comprehensive survey of existing works on this subject. Expand
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Federated Machine Learning
TLDR
We introduce a comprehensive secure federated-learning framework, which includes horizontal federatedlearning, vertical federated learning, and federated transfer learning. Expand
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Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services
TLDR
In this paper, we study the Jury Selection Problem(JSP) by utilizing crowdsourcing for decision making tasks on micro-blog services. Expand
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Online mobile Micro-Task Allocation in spatial crowdsourcing
TLDR
We propose a two-phase-based framework, based on which we present the TGOA algorithm with 1 over 4 -competitive ratio under the online random order model. Expand
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EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud
TLDR
We propose EAGRE, an Entity-Aware Graph compREssion technique to form a new representation of RDF data on Cloud platforms, based on which we propose an I/O efficient strategy to evaluate SPARQL queries as quickly as possible. Expand
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A Unified Approach to Route Planning for Shared Mobility
TLDR
We present a novel dynamic programming algorithm to accelerate the insertion operation from cubic or quadric time in previous work to only linear time. Expand
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Mining Frequent Itemsets over Uncertain Databases
TLDR
In recent years, due to the wide applications of uncertain data, mining frequent itemsets over uncertain databases has attracted much attention. Expand
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The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms
TLDR
We propose LinUOTD, a unified linear regression model with more than 200 million dimensions of features, which outperforms popular non-linear models in UOTD prediction. Expand
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Utility-Aware Social Event-Participant Planning
TLDR
We define the problem of Utility-aware Social Event-participant Planning (USEP), which is proven to be NP-hard. Expand
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Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis
TLDR
We present a comprehensive experimental comparison of the representative algorithms of the OMBM problem and show that the greedy algorithm is not bad at all. Expand
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