… Abstract: In response to the existing problems that the federated learning might lead to the
… communication, a framework of privacy-preserving robust federated learning was proposed …

… during the training process can reveal the information of the personal private property. To …
a privacy-preserving method based on the max-min strategy of vertical federated learning, …

… As an emerging privacy-preserving paradigm, federated learning can coordinate multiple
participants to jointly train a lossless global shared model by transmitting model parameters or …

… Hu J KA comprehensive survey of privacy⁃preserving federated learning [ J ]. ACM …
privacy⁃preserving federated learning. Key words federated learning;privacy⁃preserving;differential …

… A hybrid approach to privacy-preserving federated learn⁃ ing[C]//Proceeding of the 12th
ACM Workshop on Artificial Intelligence and Security. London, UK: ACM,2019:1-11. …

… federated learning and machine learning approaches to improve inventory management.
Federated learning … This paper presents a model-based federated learning model to enhance …

… , we propose a privacy-preserving framework for location-aware … to help service providers
generate recommendations in a … -grained privacy-preserving location-based service framework …

… Differentially private federated learning: A client level … Communication reducing quantization
for federated learning with … VFL: A verifiable federated learning with privacy-preserving for …

… POI recommendation with federated learning and privacy preserving in cross domain
recommendation[C]//Proceedings of 2021 IEEE Conference on Computer Communications …

… mation while ensuring item-level local differential privacy (LDP). This approach builds upon
the foundational work in privacy-preserving frequency oracles as delineated by Cormode et …