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07/16/2023
Joint Microseismic Event Detection and Location with a Detection Transformer
Microseismic event detection and location are two primary components in ...
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07/13/2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Deep learning has been widely used in many fields, but the model trainin...
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06/29/2023
Entanglement Routing over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements
Generating a long-distance quantum entanglement is one of the most essen...
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03/21/2023
The SLAM Hive Benchmarking Suite
Benchmarking Simultaneous Localization and Mapping (SLAM) algorithms is ...
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11/26/2022
Faster Algorithm for Structured John Ellipsoid Computation
Computing John Ellipsoid is a fundamental problem in machine learning an...
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10/20/2022
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
Projection maintenance is one of the core data structure tasks. Efficien...
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10/15/2022
A Nearly Optimal Size Coreset Algorithm with Nearly Linear Time
A coreset is a point set containing information about geometric properti...
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07/19/2022
Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures
In this paper, we study the problem of speeding up a type of optimizatio...
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05/31/2022
Multi-Entanglement Routing Design over Quantum Networks
Quantum networks are considered as a promising future platform for quant...
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05/17/2022
Cluster on Wheels
This paper presents a very compact 16-node cluster that is the core of a...
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05/16/2022
Two-Stage Coded Federated Edge Learning: A Dynamic Partial Gradient Coding Perspective
Federated edge learning (FEL) can training a global model from terminal ...
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11/29/2021
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension
In this paper, we consider recovering n dimensional signals from m binar...
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02/21/2021
CFLMEC: Cooperative Federated Learning for Mobile Edge Computing
We investigate a cooperative federated learning framework among devices ...
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05/25/2020
Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity
Originated from distributed learning, federated learning enables privacy...
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05/01/2020
A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing
We consider the problem of intelligent and efficient task allocation mec...
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03/28/2020
A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective
We consider the problem of intelligent and efficient resource management...
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01/27/2020
On Newton Screening
Screening and working set techniques are important approaches to reducin...
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10/20/2019
