Author

Xikun Jiang

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#federated learning Oct 2026

FedNereus: Incentive-Aware Heterogeneous Federated Learning Under Resource Constraint

As public concern about data privacy continues to grow, federated learning (FL), as a machine learning technique that does not require the disclosure of user raw data, has attracted widespread attention. However, it still has many common problems. The first problem stems from the absence of incentive mechanisms utilize...

Fu-Yuan Xia, Chen-Hao Ying, Xikun Jiang et al. · IEEE transactions on compute... · 0 citations

Aug 2026

OMBench: Taming Data Management Requirements in Cloud-Native Applications

Function-as-a-Service, actor runtimes, and microservice frameworks have emerged as popular platforms for scalable cloud applications. However, understanding the data management trade-offs of these solutions, not to mention their programming abstractions and architectural design, can be cumbersome for practitioners and...

R. Laigner, Xikun Jiang, Boris Düdder et al. · Proceedings of the VLDB Endo... · 0 citations