Výsledky vyhľadávania - "Proceedings of the International Conference on Distributed Computing Systems"

DÏoT: A Federated Self-learning Anomaly Detection System for IoT Autor Nguyen, Thien Duc, Marchal, Samuel, Miettinen, Markus, Fereidooni, Hossein, Asokan, N., Sadeghi, Ahmad-Reza

“…IoT devices are increasingly deployed in daily life. Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration…”
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PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices Autor Xuyu Wang, Chao Yang, Shiwen Mao

“…Vital signs, such as respiration and heartbeat, are useful to health monitoring since such signals provide important clues of medical conditions. Effective…”
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CryptoLock (and Drop It): Stopping Ransomware Attacks on User Data Autor Scaife, Nolen, Carter, Henry, Traynor, Patrick, Butler, Kevin R. B.

“…Ransomware is a growing threat that encrypts auser's files and holds the decryption key until a ransom ispaid by the victim. This type of malware is…”
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BaFFLe: Backdoor Detection via Feedback-based Federated Learning Autor Andreina, Sebastien, Marson, Giorgia Azzurra, Mollering, Helen, Karame, Ghassan

“…Recent studies have shown that federated learning (FL) is vulnerable to poisoning attacks that inject a backdoor into the global model. These attacks are…”
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AdapCC: Making Collective Communication in Distributed Machine Learning Adaptive Autor Zhao, Xiaoyang, Zhang, Zhe, Wu, Chuan

“…As deep learning (DL) models continue to grow in size, there is a pressing need for distributed model learning using a large number of devices (e.g., G PU s)…”
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TrimCaching: Parameter-Sharing AI Model Caching in Wireless Edge Networks Autor Qu, Guanqiao, Lin, Zheng, Liu, Fangming, Chen, Xianhao, Huang, Kaibin

“…Next-generation mobile networks are expected to facilitate fast AI model downloading to end users. By caching models on edge servers, mobile networks can…”
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Trading Private Range Counting over Big IoT Data Autor Cai, Zhipeng, He, Zaobo

“…Data privacy arises as one of the most important concerns, facing the pervasive commoditization of big data statistic analysis in Internet of Things (IoT)…”
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On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine Autor Zonyin Shae, Tsai, Jeffrey J. P.

“…This paper proposes a blockchain platform architecture for clinical trial and precision medicine and discusses various design aspects and provides some…”
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GesturePrint: Enabling User Identification for mmWave-Based Gesture Recognition Systems Autor Xu, Lilin, Wang, Keyi, Gu, Chaojie, Guo, Xiuzhen, He, Shibo, Chen, Jiming

“…The millimeter-wave (mmWave) radar has been exploited for gesture recognition. However, existing mmWave-based gesture recognition methods cannot identify…”
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Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices Autor Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.

“…We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices. While…”
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Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Autor Han, Pengchao, Wang, Shiqiang, Leung, Kin K.

“…Federated learning (FL) is an emerging technique for training machine learning models using geographically dispersed data collected by local entities. It…”
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Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Autor Sajjadi Mohammadabadi, Seyed Mahmoud, Yang, Lei, Yan, Feng, Zhang, Junshan

“…Decentralized Multi-agent Learning (DML) enables collaborative model training while preserving data privacy. How-ever, inherent heterogeneity in agents'…”
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IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT Autor Miettinen, Markus, Sadeghi, Ahmad-Reza, Marchal, Samuel, Asokan, N., Hafeez, Ibbad, Tarkoma, Sasu

“…With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing…”
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SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients Autor Xu, Xiangrui, Zhang, Qiao, Ning, Rui, Xin, Chunsheng, Wu, Hongyi

“…Machine Learning as a Service (MLaaS) has paved the way for numerous applications for resource-limited clients, such as IoT/mobile users. However, it raises a…”
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Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning Autor Cai, Shenghong, Zhang, Yiqun, Luo, Xiaopeng, Cheung, Yiu-Ming, Jia, Hong, Liu, Peng

“…Data set composed of categorical features is very common in big data analysis tasks. Since categorical features are usually with a limited number of…”
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Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds Autor Chen, Qi, Tang, Sihai, Yang, Qing, Fu, Song

“…Autonomous vehicles may make wrong decisions due to inaccurate detection and recognition. Therefore, an intelligent vehicle can combine its own data with that…”
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LAVEA: Latency-Aware Video Analytics on Edge Computing Platform Autor Shanhe Yi, Zijiang Hao, Qingyang Zhang, Quan Zhang, Weisong Shi, Qun Li

“…We present LAVEA, a system built for edge computing, which offloads computation tasks between clients and edge nodes, collaborates nearby edge nodes, to…”
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Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems Autor Haiming Jin, Lu Su, Bolin Ding, Nahrstedt, Klara, Borisov, Nikita

“…Recent years have witnessed the proliferation of mobile crowd sensing (MCS) systems that leverage the public crowd equipped with various mobile devices (e.g.,…”
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CMFL: Mitigating Communication Overhead for Federated Learning Autor WANG, Luping, WANG, Wei, LI, Bo

“…Federated Learning enables mobile users to collaboratively learn a global prediction model by aggregating their individual updates without sharing the…”
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Mahi-Mahi: Low-Latency Asynchronous BFT DAG-Based Consensus Autor Jovanovic, Philipp, Kokoris-Kogias, Lefteris, Kumara, Bryan, Sonnino, Alberto, Tennage, Pasindu, Zablotchi, Igor

“…We present Mahi-Mahi, the first asynchronous BFT consensus protocol that achieves sub-second latency in a wide-area network setting while processing over…”
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