Junxue Zhang

Orcid: 0000-0001-6926-7801

Affiliations:
  • Hong Kong University of Science and Technology (HKUST), iSING Lab, Clear Water Bay, Hong Kong (PhD 2022)
  • Clustar Technology Co., Ltd., China (former)


According to our database1, Junxue Zhang authored at least 43 papers between 2014 and 2024.

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Bibliography

2024
A Survey for Federated Learning Evaluations: Goals and Measures.
IEEE Trans. Knowl. Data Eng., October, 2024

High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning.
IEEE Trans. Parallel Distributed Syst., August, 2024

Efficient DRL-Based Congestion Control With Ultra-Low Overhead.
IEEE/ACM Trans. Netw., June, 2024

Load Balancing With Multi-Level Signals for Lossless Datacenter Networks.
IEEE/ACM Trans. Netw., June, 2024

LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath.
IEEE/ACM Trans. Netw., February, 2024

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation.
IEEE Trans. Netw. Sci. Eng., 2024

PackVFL: Efficient HE Packing for Vertical Federated Learning.
CoRR, 2024

Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA.
Proceedings of the 33rd USENIX Security Symposium, 2024

Efficient Decentralized Federated Singular Vector Decomposition.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Accelerating Privacy-Preserving Machine Learning With GeniBatch.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Enabling ECN for Datacenter Networks With RTT Variations.
IEEE Trans. Cloud Comput., 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.
CoRR, 2023

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion.
Proceedings of the IEEE INFOCOM 2023, 2023

Enabling Load Balancing for Lossless Datacenters.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022
SoK: Fully Homomorphic Encryption Accelerators.
CoRR, 2022

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

LiteFlow: towards high-performance adaptive neural networks for kernel datapath.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical and Secure Federated Recommendation with Personalized Mask.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Towards the Full Extensibility of Multipath TCP with eMPTCP.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

Multi-objective congestion control.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Spine: an efficient DRL-based congestion control with ultra-low overhead.
Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

2021
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning.
CoRR, 2021

Federated Singular Vector Decomposition.
CoRR, 2021

Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020
Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information.
IEEE Trans. Serv. Comput., 2020

RAT - Resilient Allreduce Tree for Distributed Machine Learning.
Proceedings of the APNet '20: 4th Asia-Pacific Workshop on Networking, 2020

2019
Quantifying the Performance of Federated Transfer Learning.
CoRR, 2019

Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics.
Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

Rethinking Transport Layer Design for Distributed Machine Learning.
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

2017
Enabling application-aware flexible graph partition mechanism for parallel graph processing systems.
Concurr. Comput. Pract. Exp., 2017

Resilient Datacenter Load Balancing in the Wild.
Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints.
Clust. Comput., 2016

A client-side directory prefetching mechanism for GlusterFS.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment.
Proceedings of the 45th International Conference on Parallel Processing, 2016

ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

2015
Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment.
Concurr. Comput. Pract. Exp., 2015

Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph.
Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2014
Game theory based dynamic resource allocation for hybrid environment with cloud and big data application.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014


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