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刘子扬 等: 基于个性化联邦学习的跨项目软件缺陷预测方法                                                    2935


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                 作者简介
                 刘子扬, 硕士生, CCF  学生会员, 主要研究领域为软件缺陷预测.
                 祝义, 博士, 教授, CCF  杰出会员, 主要研究领域为软件可靠性, 形式化方法, 智能化软件.
                 周湘, 硕士生, 主要研究领域为联邦学习, 后门防御.
                 李建豪, 硕士生, 主要研究领域为软件缺陷预测, 预训练模型.
                 袁春鸿, 硕士生, 主要研究领域为联邦学习, 隐私保护.
                 郝国生, 博士, 教授, CCF  专业会员, 主要研究领域为智能计算, 软件工程.
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