Cover Image

Federated PCA on Grassmann Manifold for IoT Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Tung-Anh, Le, Long Tan, Nguyen, Tuan Dung, Bao, Wei, Seneviratne, Suranga, Hong, Choong Seon, Tran, Nguyen H.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)

Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
by: Le, Long Tan, et al.
Published: (2025)

GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference
by: Tran, Phuong, et al.
Published: (2025)

Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
by: Vo, Van-Vi, et al.
Published: (2025)

Distributed Seasonal Temporal Pattern Mining
by: Ho-Long, Van, et al.
Published: (2025)

ToFU: Transforming How Federated Learning Systems Forget User Data
by: Tran, Van-Tuan, et al.
Published: (2025)

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
by: Nguyen, Ngoc-Hieu, et al.
Published: (2024)

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
by: Zhai, Wenbin, et al.
Published: (2023)

Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study
by: Paul, Tapajit Chandra, et al.
Published: (2026)

FCPO: Federated Continual Policy Optimization for Real-Time High-Throughput Edge Video Analytics
by: Liebe, Lucas, et al.
Published: (2025)

An Evaluation of LLMs Inference on Popular Single-board Computers
by: Tung, et al.
Published: (2025)

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)

Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
by: Nguyen, Huong, et al.
Published: (2024)

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
by: Vasiljevic, Pavle, et al.
Published: (2025)

EdgeWeaver: Accelerating IoT Application Development Across Edge-Cloud Continuum
by: Lertpongrujikorn, Pawissanutt, et al.
Published: (2026)

Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
by: Dhasade, Akash, et al.
Published: (2024)

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing
by: Nguyen, Chanh, et al.
Published: (2025)

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
by: Shah, Syed Sarmad, et al.
Published: (2025)

FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)

Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation
by: Cao, Tien-Dung, et al.
Published: (2024)

Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
by: Zhang, Xusheng, et al.
Published: (2025)

SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
by: Kim, Minsu, et al.
Published: (2024)

IoT-Based Wireless Networkingfor Seismic Applications
by: Jamali-Rad, Hadi, et al.
Published: (2024)

Privacy-Preserving and Trustworthy Localization in an IoT Environment
by: Zocca, Guglielmo, et al.
Published: (2024)

A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
by: Wang, Zhiyu, et al.
Published: (2025)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
by: Ochiai, Hideya, et al.
Published: (2024)

A Survey on Application Layer Protocols for IoT Networks
by: Hmissi, Fatma, et al.
Published: (2024)

A High-throughput and Secure Coded Blockchain for IoT
by: Taherpour, Amirhossein, et al.
Published: (2023)

A Multi-Simulation Bridge for IoT Digital Twins
by: Picone, Marco, et al.
Published: (2025)

Optimising Blockchain Scalability for Real-Time IoT Applications
by: Rhidoy, Hasan Mahmud, et al.
Published: (2026)

A Study to Optimize Heterogeneous Resources for Open IoT
by: Yamato, Yoji, et al.
Published: (2017)

When Quantum Federated Learning Meets Blockchain in 6G Networks
by: Nguyen, Dinh C., et al.
Published: (2025)

DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
by: Dinh-Tuan, Hai, et al.
Published: (2025)

Optimal Resource Utilization in Hyperledger Fabric: A Comprehensive SPN-Based Performance Evaluation Paradigm
by: Melo, Carlos, et al.
Published: (2025)

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
by: Loisel, Filip, et al.
Published: (2024)

Edge System Design Using Containers and Unikernels for IoT Applications
by: Kaiser, Shahidullah, et al.
Published: (2024)

Pruning Blockchain Protocols for Efficient Access Control in IoT Systems
by: Huang, Yongtao, et al.
Published: (2024)

Analysis of Distributed Average Consensus Algorithms for Robust IoT networks
by: Dhuli, Sateeshkrishna, et al.
Published: (2021)

Optimizing Stochastic Gradient Push under Broadcast Communications
by: Nguyen, Tuan, et al.
Published: (2026)

LLMPerf: GPU Performance Modeling meets Large Language Models
by: Nguyen, Khoi N. M., et al.
Published: (2025)