activity
20172024
most citedDecentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness

62 citations · 92 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.NI2021★ 3 cited

WebRTC-based measurement tool for peer-to-peer applications and preliminary findings with real users

Kosuke Nakagawa, Manabu Tsukada, Keiichi Shima +1

Direct peer-to-peer (P2P) communication is often used to minimize the end-to-end latency for real-time applications that require accurate synchronization, such as remote musical en…

cs.NI2021

MAC address randomization tolerant crowd monitoring system using Wi-Fi packets

Yuyi Cai, Manabu Tsukada, Hideya Ochiai +1

Media access control (MAC) addresses inside Wi-Fi packets can be used for beneficial activities such as crowdedness estimation, marketing, and hazard maps. However, the MAC address…

cs.CR2021★ 1 cited

Misbehavior Detection Using Collective Perception under Privacy Considerations

Manabu Tsukada, Shimpei Arii, Hideya Ochiai +1

In cooperative ITS, security and privacy protection are essential. Cooperative Awareness Message (CAM) is a basic V2V message standard, and misbehavior detection is critical for pr…

cs.CV2021

Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes

Yichuan Chen, Manabu Tsukada, Hiroshi Esaki

Exploring the most task-friendly camera setting -- optimal camera placement (OCP) problem -- in tasks that use multiple cameras is of great importance. However, few existing OCP so…

cs.CR2021

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…

cs.DC2021★ 62 cited

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…

cs.RO2021

AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving

Masaya Mizutani, Manabu Tsukada, Hiroshi Esaki

A cooperative intelligent transport system (C-ITS) uses vehicle-to-everything (V2X) technology to make self-driving vehicles safer and more efficient. Current C-ITS applications ha…