Xiaoxi Zhang

Orcid: 0000-0003-0751-2773

Affiliations:
  • 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:

Timeline

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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

How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning.
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

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.
IEEE/ACM Trans. Netw., February, 2024

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.
IEEE/ACM Trans. Netw., February, 2024

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN.
IEEE J. Sel. Areas Commun., February, 2024

FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation.
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

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles.
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

Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits.
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

Robust Decentralized Online Optimization Against Malicious Agents.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Bridging the Data Gap in Federated Preference Learning with AIGC.
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

Optimal Network Protocol Selection for Competing Flows via Online Learning.
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

MoDEMS: Optimizing Edge Computing Migrations for User Mobility.
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

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning.
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

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning.
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

Computation-Effective Personalized Federated Learning: A Meta Learning Approach.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Fair DNN Model Selection in Edge AI via A Cooperative Game Approach.
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
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances.
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

Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs.
IEEE/ACM Trans. Netw., 2022

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights.
IEEE Trans. Netw. Sci. Eng., 2022

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.
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
Dynamic VM Scaling: Provisioning and Pricing through an Online Auction.
IEEE Trans. Cloud Comput., 2021

How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning.
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

MoDEMS: Optimizing Edge Computing Migrations For User Mobility.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Towards Flexible Device Participation in Federated Learning.
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

Towards Flexible Device Participation in Federated Learning for Non-IID Data.
CoRR, 2020

Machine Learning on Volatile Instances.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

A generative simulation platform for multi-agent systems with incentives.
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
CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Towards Automated Network Management: Learning the Optimal Protocol Selection.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

2018
Observe Before Play: Multi-armed Bandit with Pre-Observations.
SIGMETRICS Perform. Evaluation Rev., 2018

Occupation-Oblivious Pricing of Cloud Jobs via Online Learning.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Dynamic cloud resource provisioning and pricing.
PhD thesis, 2017

Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs.
IEEE/ACM Trans. Netw., 2017

Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market.
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
Online cost minimization for operating geo-distributed cloud CDNs.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

A truthful (1-ε)-optimal mechanism for on-demand cloud resource provisioning.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2013
Min-cost wireless multihop networks in Euclidean space.
Proceedings of the International Symposium on Network Coding, 2013

On Space Information Flow: Single multicast.
Proceedings of the International Symposium on Network Coding, 2013

Cost Advantage of Network Coding in Space for Irregular (5 + 1) Model.
Proceedings of the IEEE 11th International Conference on Dependable, 2013


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