… privacy while maintaining the data utility through machine learning still remains. In this article,
we present a comprehensive and systematic survey on the PPFL based on our proposed …

… This motivates us to have a comprehensive survey with the following contributions: • We …
For each of this challenge, we present to the reader a comprehensive discussion of existing …

… Federated Learning (FL) has emerged as a distributed … In this article, we provide a
comprehensive survey of the … We then provide an extensive survey of the use of FL in various key …

… This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
… is critical data, therefore collaborative learning or federated learning comes into the picture. …

… To provide a comprehensive survey and facilitate the potential research of this area, we …
of federated learning from five aspects: data partitioning, privacy mechanism, machine learning …

… But the centralized data in centralized machine learning has limitations such as limited …
this comprehensive survey on Federated Learning for smart cities. The Federated Learning for …

… ABSTRACT This paper provides a comprehensive study of Federated Learning (FL) with an
emphasis on enabling software and hardware platforms, protocols, real-life applications and …

Federated learning (FL) is a distributed machine learning (ML) approach that enables models
to be trained on client devices while ensuring the privacy of user data. Model aggregation, …

… Federated learning (FL) can prevent privacy … a comprehensive survey of the literature on
blockchained FL (BCFL). First, we investigate how blockchain can be applied to federal learning …

… In this paper, we present a comprehensive survey of incentive schemes for federate learning.
Specifically, we identify the incentive problem in federated learning and then provide a …