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.
  • A Holistic Consistency Balancing cross all Replicas
    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.
  • Data Mining and Learning for SMILES in Chemistry
    We are developing a novel and fast learning method to speedup the simulation of chemistry synthesis, such computation in the wild is our prime concern on design a better computing system for such typical streaming data services.