International audienceSince its introduction in 2016, federated learning (FL) has been used in multiple domains, such as intrusion detection. However, FL literature shows that the heterogeneity of most real-world FL applications makes it difficult for clients to converge in a suitable global model. Furthermore, as a collaborative system, FL is vulnerable to attacks, such as model poisoning. While strategies have been identified in the literature, they often rely on the assumption that the data distribution among participants is homogeneous. In this paper, we review the current challenges in clustering and adversarial mitigation in heterogeneous FL, and propose different strategies to address them. Namely, we present a cross-evaluation frame...
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
The federated learning framework builds a deep learning model collaboratively by a group of connecte...
International audienceSince its introduction in 2016, federated learning (FL) has been used in multi...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
Federated Learning (FL) is essential for building global models across distributed environments. How...
International audienceFederated learning enables different parties to collaboratively build a global...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceFederated learning (FL) is a machine learning (ML) paradigm that enables distr...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
The federated learning framework builds a deep learning model collaboratively by a group of connecte...
International audienceSince its introduction in 2016, federated learning (FL) has been used in multi...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
International audienceIn 2016, Google introduced the concept of Federated Learning (FL), enabling co...
Federated Learning (FL) is essential for building global models across distributed environments. How...
International audienceFederated learning enables different parties to collaboratively build a global...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceThe rapid development of the Internet and smart devices trigger surge in netwo...
International audienceFederated learning (FL) is a machine learning (ML) paradigm that enables distr...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
The federated learning framework builds a deep learning model collaboratively by a group of connecte...