… Federated Learning: Federated learning allows models to be trained collaboratively on
distributed data sources without sharing the raw data… interpretability, privacy preservation, and …

… However, the data isolation and data privacy preservation … Firstly, the basic ideas of federated
learning and a comparison … IEEE Internet of Things Journal, 2020, 4370(99): 1. [61] WEI SY…

… Federated Learning (FL), an emerging distributed learning paradigm, has great potential in
terms of privacy preservation … of federated learning and split learning for internet of things[C]. …

… In this paper, we proposed the conceptual model for blockchain-enabled federated learning
… cybersecurity for federated learning for internet of things. IEEE Internet of Things Journal, …

… Collaborative computing of food supply chain privacy data elements based on federated
learning[… Privacy preservation in big data from the communication perspective: A survey[J]. IEEE …

… Federated learning concept was introduced into three … of federated learning and compared
the federated learning with … reputation-based crowd-sourcing IoT federated le arni ng: a se …

… privacy-federated IoT security reference architecture (PF-IoT-SRA… threats and attacks in the
IoT communication environment. It is a … A deep learning approach for privacy preservation in …

… such as big data, Internet of things and cloud computin quires a large amount of data, which
is … Comprehensive privacy analysis of deep learning: Stand-alone and federated learning …

… data. On the other hand, it is vital for privacy protectors of wearable devices to study on
privacy preservation … mechanisms, privacy-aware personal data publishing and policy-based …

… Privacy preservation in blockchain based IoT systems: Integration issues, prospects, …
Privchain: Provenance and privacy preservation in blockchain enabled supply chains[C]//2022 IEEE …