62 citations · 104 across the 17 of their papers we have counts for
5 papers · 1 filter
Homogeneous Learning: Self-Attention Decentralized Deep Learning
Yuwei Sun, Hideya Ochiai
Federated learning (FL) has been facilitating privacy-preserving deep learning in many walks of life such as medical image classification, network intrusion detection, and so forth…
Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection
Yuwei Sun, Ng Chong, Hideya Ochiai
With increasingly more sophisticated phishing campaigns in recent years, phishing emails lure people using more legitimate-looking personal contexts. To tackle this problem, instea…
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
The rapidly increasing number of smart devices on the Internet necessitates an efficient inspection system for safeguarding our networks from suspicious activities such as Address…
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
Yuwei Sun, Ng Chong, Hideya Ochiai
An attack on deep learning systems where intelligent machines collaborate to solve problems could cause a node in the network to make a mistake on a critical judgment. At the same…
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
Wider coverage and a better solution to a latency reduction in 5G necessitate its combination with multi-access edge computing (MEC) technology. Decentralized deep learning (DDL) s…