Xiaoxi Zhang
Orcid: 0000-0003-0751-2773Affiliations:
- Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- University of Hong Kong (HKU), Pokfulam, Hong Kong (PhD 2017)
According to our database1,
Xiaoxi Zhang
authored at least 69 papers
between 2013 and 2025.
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm.
IEEE Trans. Mob. Comput., January, 2025
2024
Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach.
IEEE Trans. Mob. Comput., December, 2024
IEEE/ACM Trans. Netw., October, 2024
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput., July, 2024
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., May, 2024
FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout.
IEEE Trans. Mob. Comput., May, 2024
IEEE/ACM Trans. Netw., February, 2024
IEEE/ACM Trans. Netw., February, 2024
IEEE J. Sel. Areas Commun., February, 2024
CoRR, 2024
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.
CoRR, 2024
POSTER: In-network Model Inference for Distributed Systems via Programmable Switches.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024
MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks.
Proceedings of the International Conference on Networking, Architecture and Storage, 2024
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming.
Proceedings of the IEEE INFOCOM 2024, 2024
Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing.
Proceedings of the IEEE INFOCOM 2024, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference.
Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm.
IEEE Trans. Parallel Distributed Syst., December, 2023
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale.
IEEE Trans. Mob. Comput., October, 2023
Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
IEEE Internet Things J., September, 2023
IEEE Trans. Mob. Comput., August, 2023
Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing.
IEEE Internet Things J., July, 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association.
IEEE Trans. Parallel Distributed Syst., May, 2023
IEEE J. Sel. Areas Commun., March, 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR, 2023
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
CoRR, 2023
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location.
Proceedings of the IEEE INFOCOM 2023, 2023
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
Proceedings of the IEEE INFOCOM 2023, 2023
TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning.
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
An Online Control Approach of Collaborative Federated Learning with Constrained Resources.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023
2022
SIGMETRICS Perform. Evaluation Rev., August, 2022
GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems.
IEEE Trans. Veh. Technol., 2022
Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE/ACM Trans. Netw., 2022
AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights.
IEEE Trans. Netw. Sci. Eng., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
2021
IEEE Trans. Cloud Comput., 2021
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A Truthful $(1-\epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning.
IEEE Trans. Cloud Comput., 2020
CoRR, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
2019
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019
2018
SIGMETRICS Perform. Evaluation Rev., 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
2017
IEEE/ACM Trans. Netw., 2017
IEEE J. Sel. Areas Commun., 2017
Proactive VNF provisioning with multi-timescale cloud resources: Fusing online learning and online optimization.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
2015
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
2013
Proceedings of the International Symposium on Network Coding, 2013
Proceedings of the International Symposium on Network Coding, 2013
Proceedings of the IEEE 11th International Conference on Dependable, 2013