On-going Projects

  • Energy and Battery-aware Federated Learning
    We are trying to extend the original raft into the practical scenarios. That is providing scalable and cheap distributed services within the Raft protocol. The main contribution of this research is to extending the scope of a strong consensus algorithm into a very unreliable platform and make it work statistically in practice.
  • Geo-Raft
    We are trying to extend the original raft into the practical scenarios. That is providing scalable and cheap distributed services within the Raft protocol. The main contribution of this research is to extending the scope of a strong consensus algorithm into a very unreliable platform and make it work statistically in practice.
  • Psi-DB Optimization
    We are interested in in-memory processing for enabling efficient personal intelligent services (PIS). We believe the storage management of the knowledge is the bottleneck of the PIS, and in-memory process shall be the way to better the performance of PIS on personal smart devices. As such, we are working on providing a materialized view for Graphic database, which is used to represent the inner-connection in the knowledge base. In this case, we are able to provide PIS in the remote device without offloading the computation into the central servers.
  • Genetic Sequencing Optimization
    We are working a fast base-calling method to speedup the original sequencing methods, such as the basic BLAST, and Smith–Waterman alignment, etc. The quality of the base reads and the performance for such computation in the wild is our prime concern on design a better computing system for such typical streaming data services.