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02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
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08/26/2021
Online Service Placement and Request Scheduling in MEC Networks
Mobile edge computing (MEC) emerges as a promising solution for servicin...
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04/01/2021
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters
Energy conservation of large data centers for high-performance computing...
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06/25/2019
Perceptual Generative Autoencoders
Modern generative models are usually designed to match target distributi...
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09/19/2018
Removing the Feature Correlation Effect of Multiplicative Noise
Multiplicative noise, including dropout, is widely used to regularize de...
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06/12/2018
Circular-shift Linear Network Codes with Arbitrary Odd Block Lengths
Circular-shift linear network coding (LNC) is a special type of vector L...
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02/24/2018
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Many machine learning models, including those with non-smooth regularize...
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02/24/2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
We study stochastic algorithms for solving non-convex optimization probl...
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01/18/2018
Batch Auction Design For Cloud Container Services
Cloud containers represent a new, light-weight alternative to virtual ma...
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01/03/2018
Online Job Scheduling in Distributed Machine Learning Clusters
Nowadays large-scale distributed machine learning systems have been depl...
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10/07/2017
Device-to-Device Load Balancing for Cellular Networks
Small-cell architecture is widely adopted by cellular network operators ...
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09/13/2017
Normalized Direction-preserving Adam
Optimization algorithms for training deep models not only affects the co...
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06/07/2016
