Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)
摘要
Felicitas is a distributed cross-device Federated Learning (FL) framework to solve the industrial difficulties of FL in large-scale device deployment scenarios. In Felicitas, FL-Clients are deployed on mobile or embedded devices, while FL-Server is deployed on the cloud platform. We also summarize the challenges of FL deployment in industrial cross-device scenarios (massively parallel, stateless clients, non-use of client identifiers, highly unreliable, unsteady and complex deployment), and provide reliable solutions. We provide the source code and documents at https://www.mindspore.cn/. In addition, the Felicitas has been deployed on mobile phones in real world. At the end of the paper, we demonstrate the validity of the framework through experiments.
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关键词
cross-device federated learning,distributed framework,large-scale,data mining under privacy constraints
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