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Mahda Noura et al.
MOBILE NETWORKS & APPLICATIONS (2019)
Convergence analysis of distributed stochastic gradient descent with shuffling
Qi Meng et al.
NEUROCOMPUTING (2019)
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Shiqiang Wang et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2019)
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Tal Ben-Nun et al.
ACM COMPUTING SURVEYS (2019)
Deep Learning With Edge Computing: A Review
Jiasi Chen et al.
PROCEEDINGS OF THE IEEE (2019)
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
Jose A. Morell et al.
IEEE ACCESS (2019)
Resilient parallel computing on volunteer PC grids
Jaspal Subhlok et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2018)
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
Waseem Rawat et al.
NEURAL COMPUTATION (2017)
Edge Computing: Vision and Challenges
Weisong Shi et al.
IEEE INTERNET OF THINGS JOURNAL (2016)
Volunteer computing: requirements, challenges, and solutions
Muhammad Nouman Durrani et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2014)
Structure prediction for CABP7 targets using extensive all-atom refinement with Rosetta@home
Rhiju Das et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2007)
Distributed computing in practice: the Condor experience
D Thain et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2005)