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08/19/2023
Learning and Communications Co-Design for Remote Inference Systems: Feature Length Selection and Transmission Scheduling
In this paper, we consider a remote inference system, where a neural net...
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07/24/2023
Securing Bystander Privacy in Mixed Reality While Protecting the User Experience
The modern Mixed Reality devices that make the Metaverse viable can also...
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06/16/2023
Understanding the Role of Feedback in Online Learning with Switching Costs
In this paper, we study the role of feedback in online learning with swi...
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03/13/2023
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking
As Augmented Reality (AR) devices become more prevalent and commercially...
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02/13/2023
A Worst-Case Approximate Analysis of Peak Age-of-Information Via Robust Queueing Approach
A new timeliness metric, called Age-of-Information (AoI), has recently a...
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01/28/2023
(Private) Kernelized Bandits with Distributed Biased Feedback
In this paper, we study kernelized bandits with distributed biased feedb...
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12/17/2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System
Convolution neural networks (CNNs) have achieved remarkable success, but...
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08/29/2022
Minute ventilation measurement using Plethysmographic Imaging and lighting parameters
Breathing disorders such as sleep apnea is a critical disorder that affe...
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08/05/2022
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
In image super-resolution, both pixel-wise accuracy and perceptual fidel...
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07/16/2022
On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention
Powered by advances in deep learning (DL) techniques, machine learning a...
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07/12/2022
Differentially Private Linear Bandits with Partial Distributed Feedback
In this paper, we study the problem of global reward maximization with o...
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04/29/2022
Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems
In this paper, we consider a discrete-time information-update system, wh...
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04/28/2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Multi-exit architectures consist of a backbone and branch classifiers th...
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04/06/2022
Multi-Scale Memory-Based Video Deblurring
Video deblurring has achieved remarkable progress thanks to the success ...
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03/29/2022
On Kernelized Multi-Armed Bandits with Constraints
We study a stochastic bandit problem with a general unknown reward funct...
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02/02/2022
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs
Fueled by advances in distributed deep learning (DDL), recent years have...
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08/06/2021
Toward Efficient Online Scheduling for Distributed Machine Learning Systems
Recent years have witnessed a rapid growth of distributed machine learni...
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07/25/2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
In this paper, we study the problem of fair worker selection in Federate...
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07/15/2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Structured pruning is a commonly used technique in deploying deep neural...
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05/28/2021
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling
In recent years, to sustain the resource-intensive computational needs f...
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11/10/2020
Neural Network Compression Via Sparse Optimization
The compression of deep neural networks (DNNs) to reduce inference cost ...
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11/01/2020
Robust Sequence Submodular Maximization
Submodularity is an important property of set functions and has been ext...
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04/07/2020
Orthant Based Proximal Stochastic Gradient Method for ℓ_1-Regularized Optimization
Sparsity-inducing regularization problems are ubiquitous in machine lear...
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03/09/2020
Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study
The Age-of-Information (AoI) is a new performance metric recently propos...
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12/17/2019
Waiting but not Aging: Age-of-Information and Utility Optimization Under the Pull Model
The Age-of-Information (AoI) has recently been proposed as an important ...
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10/14/2019
Placement and Allocation of Virtual Network Functions: Multi-dimensional Case
Network function virtualization (NFV) is an emerging design paradigm tha...
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07/27/2019
Generative Adversarial Network for Handwritten Text
Generative adversarial networks (GANs) has proven hugely successful in v...
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01/15/2019
Combinatorial Sleeping Bandits with Fairness Constraints
The multi-armed bandit (MAB) model has been widely adopted for studying ...
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01/13/2019
Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints
With the advent of Network Function Virtualization (NFV), network servic...
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01/03/2019
Towards the Tradeoff Between Service Performance and Information Freshness
The last decade has witnessed an unprecedented growth in the demand for ...
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01/17/2018