4.7 Article

Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Theory & Methods

A survey on security and privacy of federated learning

Viraaji Mothukuri et al.

Summary: Federated learning (FL) is a new type of artificial intelligence that builds upon decentralized data and training, currently in its infancy, facing security and privacy concerns that need to be carefully evaluated and documented.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

Article Computer Science, Hardware & Architecture

Federated Learning in Vehicular Networks: Opportunities and Solutions

Jason Posner et al.

Summary: This article explores the concept of Federated Learning and its application in vehicular networks, specifically the Federated Vehicular Network (FVN). FVN combines DSRC and mmWave communication to achieve better performance and stability compared to traditional vehicular networks. The article discusses the enabling technologies, high-level architecture, and key components of FVN, while also highlighting open problems and future research directions.

IEEE NETWORK (2021)

Article Computer Science, Hardware & Architecture

Isomorphic Internet of Things Architectures With Web Technologies

Tommi Mikkonen et al.

Summary: The development of Internet of Things requires an isomorphic software architecture where various devices can be programmed using the same set of implementation technologies, allowing for static deployment or dynamic migration of applications and their components without changing their shape.

COMPUTER (2021)

Article Computer Science, Information Systems

BOINC: A Platform for Volunteer Computing

David P. Anderson

JOURNAL OF GRID COMPUTING (2020)

Article Computer Science, Theory & Methods

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools

Ruben Mayer et al.

ACM COMPUTING SURVEYS (2020)

Article Engineering, Electrical & Electronic

Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

Yunlong Lu et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Multidisciplinary Sciences

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Micah J. Sheller et al.

SCIENTIFIC REPORTS (2020)

Article Computer Science, Artificial Intelligence

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Yang Chen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Computer Science, Information Systems

EdgeFed: Optimized Federated Learning Based on Edge Computing

Yunfan Ye et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2020)

Article Computer Science, Hardware & Architecture

Interoperability in Internet of Things: Taxonomies and Open Challenges

Mahda Noura et al.

MOBILE NETWORKS & APPLICATIONS (2019)

Article Computer Science, Artificial Intelligence

Convergence analysis of distributed stochastic gradient descent with shuffling

Qi Meng et al.

NEUROCOMPUTING (2019)

Article Engineering, Electrical & Electronic

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

Shiqiang Wang et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2019)

Article Computer Science, Theory & Methods

Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis

Tal Ben-Nun et al.

ACM COMPUTING SURVEYS (2019)

Review Engineering, Electrical & Electronic

Deep Learning With Edge Computing: A Review

Jiasi Chen et al.

PROCEEDINGS OF THE IEEE (2019)

Article Computer Science, Information Systems

JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training

Jose A. Morell et al.

IEEE ACCESS (2019)

Article Computer Science, Software Engineering

Resilient parallel computing on volunteer PC grids

Jaspal Subhlok et al.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2018)

Review Computer Science, Artificial Intelligence

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Waseem Rawat et al.

NEURAL COMPUTATION (2017)

Review Computer Science, Information Systems

Edge Computing: Vision and Challenges

Weisong Shi et al.

IEEE INTERNET OF THINGS JOURNAL (2016)

Review Computer Science, Hardware & Architecture

Volunteer computing: requirements, challenges, and solutions

Muhammad Nouman Durrani et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2014)

Article Biochemistry & Molecular Biology

Structure prediction for CABP7 targets using extensive all-atom refinement with Rosetta@home

Rhiju Das et al.

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2007)

Article Computer Science, Software Engineering

Distributed computing in practice: the Condor experience

D Thain et al.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2005)