62 citations · 92 across the 14 of their papers we have counts for
3 papers · 1 filter
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
Hideya Ochiai, Riku Nishihata, Eisuke Tomiyama +2
Anomaly detection is an important function in IoT applications for finding outliers caused by abnormal events. Anomaly detection sometimes comes with high-frequency data sampling w…
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka, Hideya Ochiai, Yuwei Sun +1
Wireless ad hoc federated learning (WAFL) is a fully decentralized collaborative machine learning framework organized by opportunistically encountered mobile nodes. Compared to con…
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning
Hideya Ochiai, Yuwei Sun, Qingzhe Jin +2
Privacy-sensitive data is stored in autonomous vehicles, smart devices, or sensor nodes that can move around with making opportunistic contact with each other. Federation among suc…