MarS-FL: enabling competitors to collaborate in federated learning

• المؤلفون الرئيسيون: Wu, Xiaohu, Yu, Han
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Federated learning; Competitive Market
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164431

Federated learning (FL) is rapidly gaining popularity and enables multiple data owners (a.k.a. FL participants) to collaboratively train machine learning models in a privacy-preserving way. A key unaddressed scenario is that these FL participants are in a competitive market, where market shares repr...