b'Ming Ding'

research

∙ 09/20/2023

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

Intelligent transportation systems (ITSs) have been fueled by the rapid ...

0 Shiying Zhang, et al. ∙

research

∙ 09/07/2023

Sparse Federated Training of Object Detection in the Internet of Vehicles

As an essential component part of the Intelligent Transportation System ...

0 Luping Rao, et al. ∙

research

∙ 09/06/2023

Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI

In this paper, we investigate the performance of reconfigurable intellig...

0 Xusheng Zhu, et al. ∙

research

∙ 09/06/2023

GPT Can Solve Mathematical Problems Without a Calculator

Previous studies have typically assumed that large language models are u...

0 Zhen Yang, et al. ∙

research

∙ 09/05/2023

Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing

In the era of 5G mobile communication, there has been a significant surg...

0 Zhengrong Song, et al. ∙

research

∙ 09/04/2023

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Diffusion models achieved great success in image synthesis, but still fa...

0 Jiayan Teng, et al. ∙

research

∙ 08/04/2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

With the rapid proliferation of smart mobile devices, federated learning...

0 Xuefeng Han, et al. ∙

research

∙ 07/18/2023

Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning

As an efficient distributed machine learning approach, Federated learnin...

0 Kecheng Fan, et al. ∙

research

∙ 07/18/2023

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut

Transformer-based models have gained popularity in the field of natural ...

0 Yingjie Niu, et al. ∙

research

∙ 06/06/2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

In-Batch contrastive learning is a state-of-the-art self-supervised meth...

0 Zhen Yang, et al. ∙

research

∙ 04/15/2023

Multi-Server Secure Aggregation with Unreliable Communication Links

In many distributed learning setups such as federated learning (FL), cli...

0 Kai Liang, et al. ∙

research

∙ 04/12/2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

We present ImageReward – the first general-purpose text-to-image human p...

5 Jiazheng Xu, et al. ∙

research

∙ 04/09/2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

Federated learning (FL) enables distributed clients to collaboratively t...

0 Kang Wei, et al. ∙

research

∙ 03/07/2023

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning

While preserving the privacy of federated learning (FL), differential pr...

0 Xin Yuan, et al. ∙

research

∙ 02/27/2023

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic

Website fingerprinting attack is an extensively studied technique used i...

0 Guodong Huang, et al. ∙

research

∙ 02/13/2023

Weighted 1-Laplacian Solvers for Well-Shaped Simplicial Complexes

We present efficient algorithms for solving systems of linear equations ...

0 Ming Ding, et al. ∙

research

∙ 11/13/2022

Differentially Private Vertical Federated Learning

A successful machine learning (ML) algorithm often relies on a large amo...

0 Thilina Ranbaduge, et al. ∙

research

∙ 11/03/2022

Privacy-preserving Deep Learning based Record Linkage

Deep learning-based linkage of records across different databases is bec...

0 Thilina Ranbaduge, et al. ∙

research

∙ 10/30/2022

Parameter-Efficient Tuning Makes a Good Classification Head

In recent years, pretrained models revolutionized the paradigm of natura...

0 Zhuoyi Yang, et al. ∙

research

∙ 10/26/2022

Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks

Federated Learning (FL) empowers Industrial Internet of Things (IIoT) wi...

0 Xiumei Deng, et al. ∙

research

∙ 10/20/2022

How Does a Deep Learning Model Architecture Impact Its Privacy?

As a booming research area in the past decade, deep learning technologie...

0 Guangsheng Zhang, et al. ∙

research

∙ 10/05/2022

GLM-130B: An Open Bilingual Pre-trained Model

We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...

8 Aohan Zeng, et al. ∙

research

∙ 09/21/2022

Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation

Task-oriented communications, mostly using learning-based joint source-c...

0 Songjie Xie, et al. ∙

research

∙ 06/17/2022

Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges

The convergence of mobile edge computing (MEC) and blockchain is transfo...

0 Dinh C Nguyen, et al. ∙

research

∙ 05/29/2022

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Large-scale pretrained transformers have created milestones in text (GPT...

0 Wenyi Hong, et al. ∙

research

∙ 05/28/2022

Rethinking the Setting of Semi-supervised Learning on Graphs

We argue that the present setting of semisupervised learning on graphs m...

6 Ziang Li, et al. ∙

research

∙ 05/03/2022

Universal Optimality and Robust Utility Bounds for Metric Differential Privacy

We study the privacy-utility trade-off in the context of metric differen...

0 Natasha Fernandes, et al. ∙

research

∙ 04/28/2022

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

The development of the transformer-based text-to-image models are impede...

0 Ming Ding, et al. ∙

research

∙ 02/18/2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning

Motivated by the advancing computational capacity of distributed end-use...

0 Chuan Ma, et al. ∙

research

∙ 02/10/2022

Hardness Results for Laplacians of Simplicial Complexes via Sparse-Linear Equation Complete Gadgets

We study linear equations in combinatorial Laplacians of k-dimensional s...

0 Ming Ding, et al. ∙

research

∙ 02/09/2022

Vertical Federated Learning: Challenges, Methodologies and Experiments

Recently, federated learning (FL) has emerged as a promising distributed...

16 Kang Wei, et al. ∙

research

∙ 01/27/2022

Two-Commodity Flow is Equivalent to Linear Programming under Nearly-Linear Time Reductions

We give a nearly-linear time reduction that encodes any linear program a...

0 Ming Ding, et al. ∙

research

∙ 01/13/2022

Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search

For UAV-aided wireless systems, online path planning attracts much atten...

0 Yuwen Qian, et al. ∙

research

∙ 12/30/2021

Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Heterogeneous graph neural networks (HGNNs) have been blossoming in rece...

16 Qingsong Lv, et al. ∙

research

∙ 11/16/2021

Federated Learning for Smart Healthcare: A Survey

Recent advances in communication technologies and Internet-of-Medical-Th...

0 Dinh C Nguyen, et al. ∙

research

∙ 10/14/2021

Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

COVID-19 has spread rapidly across the globe and become a deadly pandemi...

0 Dinh C Nguyen, et al. ∙

research

∙ 09/27/2021

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

The few-shot natural language understanding (NLU) task has attracted muc...

8 Yanan Zheng, et al. ∙

research

∙ 06/28/2021

Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey

The beginning of 2020 has seen the emergence of coronavirus outbreak cau...

0 Dinh C Nguyen, et al. ∙

research

∙ 06/13/2021

Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling

With the development of federated learning (FL), mobile devices (MDs) ar...

0 Shunfeng Chu, et al. ∙

research

∙ 05/31/2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels

Blockchain assisted federated learning (BFL) has been intensively studie...

0 Xiumei Deng, et al. ∙

research

∙ 05/31/2021

Federated Learning for Industrial Internet of Things in Future Industries

The Industrial Internet of Things (IIoT) offers promising opportunities ...

18 Dinh C Nguyen, et al. ∙

research

∙ 05/29/2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis

Conditional image synthesis aims to create an image according to some mu...

0 Zhu Zhang, et al. ∙

research

∙ 05/26/2021

CogView: Mastering Text-to-Image Generation via Transformers

Text-to-Image generation in the general domain has long been an open pro...

17 Ming Ding, et al. ∙

research

∙ 05/10/2021

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

Owing to the low communication costs and privacy-promoting capabilities,...

7 Chuan Ma, et al. ∙

research

∙ 04/05/2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Mobile edge computing (MEC) has been envisioned as a promising paradigm ...

0 Dinh C Nguyen, et al. ∙

research

∙ 03/25/2021

Realistic Differentially-Private Transmission Power Flow Data Release

For the modeling, design and planning of future energy transmission netw...

11 David Smith, et al. ∙

research

∙ 03/18/2021

GPT Understands, Too

While GPTs with traditional fine-tuning fail to achieve strong results o...

21 Xiao Liu, et al. ∙

research

∙ 03/18/2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework

There have been various types of pretraining architectures including aut...

0 Zhengxiao Du, et al. ∙

research

∙ 03/18/2021

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain

The healthcare industry has witnessed significant transformations in e-h...

0 Dinh C Nguyen, et al. ∙

research

∙ 03/12/2021

DP-Image: Differential Privacy for Image Data in Feature Space

The excessive use of images in social networks, government databases, an...

0 Bo Liu, et al. ∙

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