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Convolutional Neural Network Based Approval Prediction of Enhancement Reports

Jun Cheng, Mazhar Sadiq, Olga A. Kalugina, Sadeem Ahmad Nafees et al. • IEEE Access (2021)

For a given software enhancement report, identifying its possible approval status could help software developers by suggesting feature enhancements to compete in the software industry. An automatic solution for the approval prediction of en...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3108624

BFLP: blockchain-based federated learning protocol with verifiable contribution proof

Xi Li, Yibei Wang, Bin Wen • Journal of King Saud University: Computer and Information Sciences (2026)

Abstract Cross-institutional federated learning suffers from centralized trust fragility, poisoning attacks, and the lack of verifiable contribution-based incentives. This paper proposes BFLP, a blockchain-based federated learning protocol ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44443-026-01162-y