Lista de obras - Song Guo - Dominio Público Uruguay

<sc>MeLoDy</sc>: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing

artículo científico publicado en 2018

A Flexible and Efficient Key Distribution Scheme for Renewable Wireless Sensor Networks

A Message Complexity Oriented Design of Distributed Algorithm for Long-Lived Multicasting in Wireless Sensor Networks

A Pre-Authentication Approach to Proxy Re-encryption in Big Data Context

artículo científico publicado en 2017

Adaptive Double-Spending Attacks on PoW-based Blockchains

artículo científico publicado en 2023

Adaptive Federated Learning on Non-IID Data With Resource Constraint

artículo científico publicado en 2022

Adaptive Vertical Federated Learning on Unbalanced Features

artículo científico publicado en 2022

An Efficient Data Scheduling Scheme for P2P Storage-Constrained IPTV System

article by Xuping Tu et al published March 2013 in IEEE transactions on systems, man, and cybernetics. Systems

Automatic Double-Auction Mechanism for Federated Learning Service Market in Internet of Things

artículo científico publicado en 2022

Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things

scientific article published in 2023

Communication Complexity Evaluation for Longest-Lived Directional Multicasting in WANETs

DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster

artículo científico publicado en 2024

Detached and Interactive Multimodal Learning

artículo científico publicado en 2024

Disclosing and Locating Concurrency Bugs of Interrupt-Driven IoT Programs

artículo científico publicado en 2019

Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks

Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds

artículo científico publicado en 2022

Elastic Resource Allocation Against Imbalanced Transaction Assignments in Sharding-Based Permissioned Blockchains

scientific article published in 2022

Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks

artículo científico

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

artículo científico publicado en 2024

Futuretech 2010- AEWiNS 2010 Welcome Message from the Workshop Organizers

GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning

artículo científico publicado en 2024

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment

artículo científico publicado en 2022

High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach

artículo científico publicado en 2022

Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing

artículo científico publicado en 2022

Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware

artículo científico publicado en 2023

L4L: Experience-Driven Computational Resource Control in Federated Learning

artículo científico publicado en 2022

LTSM: Lightweight and Trusted Sharing Mechanism of IoT Data in Smart City

artículo científico publicado en 2022

Minimizing the Age-of-Critical-Information: An Imitation Learning-Based Scheduling Approach Under Partial Observations

artículo científico publicado en 2022

Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey

artículo científico publicado en 2023

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning

artículo científico publicado en 2024

Multi-Category RFID Estimation

Novel z-domain precoding method for blind separation of spatially correlated signals.

artículo científico publicado en 2013

Online Learning for Distributed Computation Offloading in Wireless Powered Mobile Edge Computing Networks

artículo científico publicado en 2022

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation

artículo científico publicado en 2024

Poisoning Attack on Federated Knowledge Graph Embedding

artículo científico publicado en 2024

Reinforcement Learning-Based Particle Swarm Optimization for End-to-End Traffic Scheduling in TSN-5G Networks

artículo científico publicado en 2023

Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid

artículo científico publicado en 2019

SDN-Based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

artículo científico publicado en 2022

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization

artículo científico publicado en 2024

Scheduling Most Valuable Committees for the Sharded Blockchain

artículo científico publicado en 2023

The Exploration of Network Coding in IEEE 802.15.4 Networks

Tree-Based Distributed Multicast Algorithms for Directional Communications and Lifetime Optimization in Wireless Ad Hoc Networks

pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning

artículo científico publicado en 2023

Lista de obras de Song Guo

<sc>MeLoDy</sc>: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing

A Flexible and Efficient Key Distribution Scheme for Renewable Wireless Sensor Networks

A Message Complexity Oriented Design of Distributed Algorithm for Long-Lived Multicasting in Wireless Sensor Networks

A Pre-Authentication Approach to Proxy Re-encryption in Big Data Context

Adaptive Double-Spending Attacks on PoW-based Blockchains

Adaptive Federated Learning on Non-IID Data With Resource Constraint

Adaptive Vertical Federated Learning on Unbalanced Features

An Efficient Data Scheduling Scheme for P2P Storage-Constrained IPTV System

Automatic Double-Auction Mechanism for Federated Learning Service Market in Internet of Things

Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things

Communication Complexity Evaluation for Longest-Lived Directional Multicasting in WANETs

DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster

Detached and Interactive Multimodal Learning

Disclosing and Locating Concurrency Bugs of Interrupt-Driven IoT Programs

Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks

Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds

Elastic Resource Allocation Against Imbalanced Transaction Assignments in Sharding-Based Permissioned Blockchains

Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

Futuretech 2010- AEWiNS 2010 Welcome Message from the Workshop Organizers

GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment

High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach

Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing

Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware

L4L: Experience-Driven Computational Resource Control in Federated Learning

LTSM: Lightweight and Trusted Sharing Mechanism of IoT Data in Smart City

Minimizing the Age-of-Critical-Information: An Imitation Learning-Based Scheduling Approach Under Partial Observations

Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning

Multi-Category RFID Estimation

Novel z-domain precoding method for blind separation of spatially correlated signals.

Online Learning for Distributed Computation Offloading in Wireless Powered Mobile Edge Computing Networks

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation

Poisoning Attack on Federated Knowledge Graph Embedding

Reinforcement Learning-Based Particle Swarm Optimization for End-to-End Traffic Scheduling in TSN-5G Networks

Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid

SDN-Based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization

Scheduling Most Valuable Committees for the Sharded Blockchain

The Exploration of Network Coding in IEEE 802.15.4 Networks

Tree-Based Distributed Multicast Algorithms for Directional Communications and Lifetime Optimization in Wireless Ad Hoc Networks

pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning