The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks

arXiv:2311.07946v4 Announce Type: replace
Abstract: As Federated Learning (FL) grows in popularity, new decentralized frameworks are becoming widespread. These frameworks leverage the benefits of decentralized environments to enable fast and energy-efficient inter-device communication. However, this growing popularity also intensifies the need for robust security measures. While existing research has explored various aspects of FL security, the role of adversarial node placement in decentralized networks remains largely unexplored. This paper addresses this gap by analyzing the performance of decentralized FL for …

adversarial arxiv benefits communication cs.ai cs.cr cs.ma decentralized device enable energy environments fast federated federated learning frameworks impact networks node research robust security security security measures