… This paper has presented a comprehensive survey of the privacy-preserving aggregation …
privacy of federated learning systems. Firstly, we gave an overview of federated learning on its …

… ABSTRACT Federated Learning (FL) emerged as a significant advancement in the field of
… In this survey, we provided a comprehensive overview of the state-of-the-art research on …

… for privacy-preserving machine learning that allows multiple … In this survey, we first review
the major evaluation goals … a standardized and comprehensive evaluation framework for FL …

… non-IID problems in federated learning in Table 1. However, the … federated learning is not
comprehensive and time-sensitive. Therefore, the goal of this paper is to give a comprehensive …

… Compared with the existing surveys, this paper presents a comprehensive survey of the
latest backdoor attacks on WFL and corresponding defense mechanisms. Over 200 papers from …

… Despite the fast development of FL and the rapid emergence of many IIoT applications, there
is a lack of a comprehensive survey that provides an overview of FL, IIoT, and applications …

… security, and efficiency in the learning process. Currently, there is no comprehensive survey
for this … We aim to provide a comprehensive understanding of the principles, techniques, and …

… the authors provided the definition of federated learning systems and analyzed the … surveys
only review a specific aspect of federated learning, failing to give readers a comprehensive …

… conduct a comprehensive survey of the recent development of federated learning methods
… We have systematically gathered research papers on federated learning and its applications …

… both centralized learning and federated learning scenarios, this paper aims to provide a
comprehensive understanding of privacy-related challenges and solutions in machine learning. …