Victoria Huang

Orcid: 0000-0002-8405-8845

Affiliations:
  • National Institute of Water and Atmospheric Research, Wellington, New Zealand


According to our database1, Victoria Huang authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach.
IEEE Trans. Cybern., May, 2024

2023
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.
IEEE Instrum. Meas. Mag., December, 2023

Rural AI: Serverless-Powered Federated Learning for Remote Applications.
IEEE Internet Comput., 2023

Policy ensemble gradient for continuous control problems in deep reinforcement learning.
Neurocomputing, 2023

Learning to Solve Climate Sensor Placement Problems with a Transformer.
CoRR, 2023

Deep Metric Tensor Regularized Policy Gradient.
CoRR, 2023

Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training.
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.
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.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces.
CoRR, 2022

Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Adaptive Edge-Cloud Environments for Rural AI.
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.
CoRR, 2021

Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency.
IEEE Trans. Netw. Serv. Manag., 2020

2019
Optimizing Controller Placement for Software-Defined Networks.
CoRR, 2019

Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017
BLAC: A Bindingless Architecture for Distributed SDN Controllers.
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017


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