Understanding black box models has become paramount as systems based on opaque
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …

Abstract The Internet of Things (IoT) is a new well‐structured emerging technology with
communication of smart devices using the 5G technology, infrastructures of roads, vehicles …

Vertical Federated Learning (VFL) is a federated learning paradigm where multiple
participants, who share the same set of samples but hold different features, jointly train …

Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm
where different parties collaboratively learn models using partitioned features of shared …

Vertical Federated Learning (VFL) is a promising category of Federated Learning that
enables collaborative model training among distributed parties with data privacy protection …

In response to the escalating transmission of sensitive data within IT infrastructures,
healthcare organizations, and entities generating wearable user data have become …

Modern manufacturing value chains require intelligent orchestration of processes across
company borders in order to maximize profits while fostering social and environmental …

Federated Learning (FL) allows collaboration between different parties, while ensuring that
the data across these parties is not shared. However, not every collaboration is helpful in …

Federated learning (FL) enables multiple clients to collaboratively train a model without
sharing their private data, preserving privacy. However, the iterative communication …

Modern manufacturing value chains require intelligent orchestration of processes across
company borders in order to maximize profits while fostering social and environmental …