Name: BDA Group at Beihang
Type: Organization
Bio: Our research topics include federated learning, data federation, spatiotemporal big data analysis, privacy-preserving data analysis and crowd intelligence.
Location: Beijing, China
Blog: https://hufudb.com/
BDA Group at Beihang's Projects
The repository stores the source code of the course, algorithm design and analysis.
Profit Allocation for Federated Learning
An Experimental Study on Federated Equi-Joins
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
This is a recommended paper list for the course of Privacy Computing.
An efficient insertion framework called GreedyDP for shared mobility services.
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees
A paper list of the papers on ridesharing
GOMA is a two-sided online task assignment problem in Spatial Crowdsourcing.
Latency-oriented Task Completion via Spatial Crowdsourcing
Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach
The paper list of our survey on spatial crowdsourcing
Two-sided online bipartite matching in spatial data: experiments and analysis
Clone from http://degroup.cis.umac.mo/sspexp/, the implementation of the VLDB'17 paper An Experimental Study on Hub Labeling based Shortest Path Algorithms.
A paperlist of the papers about trajectory