Victoria Huang

According to our database, Victoria Huang authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.

Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra

IEEE Instrum. Meas. Mag., December, 2023

Rural AI: Serverless-Powered Federated Learning for Remote Applications.

Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster

IEEE Internet Comput., 2023

Policy ensemble gradient for continuous control problems in deep reinforcement learning.

Guoqiang Liu, Gang Chen, Victoria Huang

Neurocomputing, 2023

Learning to Solve Climate Sensor Placement Problems with a Transformer.

Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt

CoRR, 2023

Deep Metric Tensor Regularized Policy Gradient.

Gang Chen, Victoria Huang

CoRR, 2023

Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training.

Gang Chen, Victoria Huang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming.

Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization.

Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients.

Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces.

Gang Chen, Victoria Huang

CoRR, 2022

Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning.

Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Adaptive Edge-Cloud Environments for Rural AI.

Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking.

Victoria Huang, Gang Chen, Qiang Fu

CoRR, 2021

Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.

Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency.

Victoria Huang, Gang Chen, Peng Zhang, Hao Li, Chengchen Hu, Tian Pan, Qiang Fu

IEEE Trans. Netw. Serv. Manag., 2020

2019

Optimizing Controller Placement for Software-Defined Networks.

Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen

CoRR, 2019

Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning.

Victoria Huang, Gang Chen, Qiang Fu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017

BLAC: A Bindingless Architecture for Distributed SDN Controllers.

Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart

Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017