Kai Chen

Orcid: 0000-0003-2587-6028

Affiliations:
  • Hong Kong University of Science and Technology
  • Northwestern University


According to our database1, Kai Chen authored at least 147 papers between 2009 and 2024.

Collaborative distances:

Timeline

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Bibliography

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

Privacy-Preserving Multi-Label Propagation Based on Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2024

2023
A One-Pass Clustering Based Sketch Method for Network Monitoring.
IEEE/ACM Trans. Netw., December, 2023

Trading Off Privacy, Utility, and Efficiency in Federated Learning.
ACM Trans. Intell. Syst. Technol., December, 2023

Federated Clique Percolation for Privacy-preserving Overlapping Community Detection.
ACM Trans. Intell. Syst. Technol., August, 2023

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework.
IEEE Trans. Knowl. Data Eng., April, 2023

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J., March, 2023

No Free Lunch Theorem for Security and Utility in Federated Learning.
ACM Trans. Intell. Syst. Technol., February, 2023

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

Enabling Edge-Cloud Video Analytics for Robotics Applications.
IEEE Trans. Cloud Comput., 2023

Scalable and Efficient Full-Graph GNN Training for Large Graphs.
Proc. ACM Manag. Data, 2023

Federated Learning without Full Labels: A Survey.
IEEE Data Eng. Bull., 2023

A Survey for Federated Learning Evaluations: Goals and Measures.
CoRR, 2023

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks.
CoRR, 2023

VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing.
CoRR, 2023

Theoretically Principled Federated Learning for Balancing Privacy and Utility.
CoRR, 2023

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion.
CoRR, 2023

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR, 2023

A Game-theoretic Framework for Federated Learning.
CoRR, 2023

Probably Approximately Correct Federated Learning.
CoRR, 2023

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

Federated Learning without Full Labels: A Survey.
CoRR, 2023

SRNIC: A Scalable Architecture for RDMA NICs.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 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

RIPGeo: Robust Street-Level IP Geolocation.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Tabi: An Efficient Multi-Level Inference System for Large Language Models.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Accurate and Scalable Rate Limiter for RDMA NICs.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Scaling Switch-driven Flow Control with Aquarius.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
Congestion Control for Cross-Datacenter Networks.
IEEE/ACM Trans. Netw., 2022

Aeolus: A Building Block for Proactive Transport in Datacenter Networks.
IEEE/ACM Trans. Netw., 2022

Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data.
ACM Trans. Intell. Syst. Technol., 2022

Efficient Federated Matrix Factorization Against Inference Attacks.
ACM Trans. Intell. Syst. Technol., 2022

SoK: Fully Homomorphic Encryption Accelerators.
CoRR, 2022

Efficient DNN Training with Knowledge-Guided Layer Freezing.
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

FAERY: An FPGA-accelerated Embedding-based Retrieval System.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training.
Proceedings of the IEEE INFOCOM 2022, 2022

AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training.
Proceedings of the IEEE INFOCOM 2022, 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

DGS: Communication-Efficient Graph Sampling for Distributed GNN Training.
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

Herald: An Embedding Scheduler for Distributed Embedding Model Training.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

2021
RepNet: Cutting Latency with Flow Replication in Data Center Networks.
IEEE Trans. Serv. Comput., 2021

Hone: Mitigating Stragglers in Distributed Stream Processing With Tuple Scheduling.
IEEE Trans. Parallel Distributed Syst., 2021

BDS+: An Inter-Datacenter Data Replication System With Dynamic Bandwidth Separation.
IEEE/ACM Trans. Netw., 2021

One More Config is Enough: Saving (DC)TCP for High-Speed Extremely Shallow-Buffered Datacenters.
IEEE/ACM Trans. Netw., 2021

Providing Bandwidth Guarantees, Work Conservation and Low Latency Simultaneously in the Cloud.
IEEE Trans. Cloud Comput., 2021

Secure Federated Matrix Factorization.
IEEE Intell. Syst., 2021

Automatic Configuration for Optimal Communication Scheduling in DNN Training.
CoRR, 2021

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks.
CoRR, 2021

Secure Machine Learning over Relational Data.
CoRR, 2021

Practical and Secure Federated Recommendation with Personalized Masks.
CoRR, 2021

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

HAFLO: GPU-Based Acceleration for Federated Logistic Regression.
CoRR, 2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.
CoRR, 2021

Federated Singular Vector Decomposition.
CoRR, 2021

Jellyfish: Locality-Sensitive Subflow Sketching.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

RPO: Receiver-driven Transport Protocol Using Opportunistic Transmission in Data Center.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020
Federated Recommendation Systems.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Rethinking Fast and Friendly Transport in Data Center Networks.
IEEE/ACM Trans. Netw., 2020

FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning.
CoRR, 2020

Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework.
CoRR, 2020

Domain-specific Communication Optimization for Distributed DNN Training.
CoRR, 2020

FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning.
CoRR, 2020

Divide-and-Shuffle Synchronization for Distributed Machine Learning.
CoRR, 2020

Aeolus: A Building Block for Proactive Transport in Datacenters.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

Exploring Clustering of Bandits for Online Recommendation System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Clustering-preserving Network Flow Sketching.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

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

2019
Tagger: Practical PFC Deadlock Prevention in Data Center Networks.
IEEE/ACM Trans. Netw., 2019

Quantifying the Performance of Federated Transfer Learning.
CoRR, 2019

Locality-Sensitive Sketching for Resilient Network Flow Monitoring.
CoRR, 2019

Resilient Disaggregated Network Flow Monitoring.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 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

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks.
Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

Enabling ECN for datacenter networks with RTT variations.
Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019

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

2018
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
Proc. ACM Meas. Anal. Comput. Syst., 2018

Programmable Switch as a Parallel Computing Device.
CoRR, 2018

AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication.
Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

Enabling Work-Conserving Bandwidth Guarantees for Multi-Tenant Datacenters via Dynamic Tenant-Queue Binding.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

BDS: a centralized near-optimal overlay network for inter-datacenter data replication.
Proceedings of the Thirteenth EuroSys Conference, 2018

Pas de deux: Shape the Circuits, and Shape the Apps too!
Proceedings of the 2nd Asia-Pacific Workshop on Networking, 2018

Augmenting Proactive Congestion Control with Aeolus.
Proceedings of the 2nd Asia-Pacific Workshop on Networking, 2018

2017
Guaranteeing Deadlines for Inter-Data Center Transfers.
IEEE/ACM Trans. Netw., 2017

Toward A Scalable, Fault-Tolerant, High-Performance Optical Data Center Architecture.
IEEE/ACM Trans. Netw., 2017

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers.
IEEE/ACM Trans. Netw., 2017

Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant- eue Binding.
CoRR, 2017

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

Towards Zero Copy Dataflows using RDMA.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Enabling Wide-Spread Communications on Optical Fabric with MegaSwitch.
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Rate-aware flow scheduling for commodity data center networks.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Combining ECN and RTT for Datacenter Transport.
Proceedings of the First Asia-Pacific Workshop on Networking, 2017

Congestion Control for High-speed Extremely Shallow-buffered Datacenter Networks.
Proceedings of the First Asia-Pacific Workshop on Networking, 2017

2016
Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application.
IEEE/ACM Trans. Netw., 2016

Explicit Path Control in Commodity Data Centers: Design and Applications.
IEEE/ACM Trans. Netw., 2016

CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Scheduling Mix-flows in Commodity Datacenters with Karuna.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Enabling ECN in Multi-Service Multi-Queue Data Centers.
Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

OPTAS: Decentralized flow monitoring and scheduling for tiny tasks.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Stream: Decentralized opportunistic inter-coflow scheduling for datacenter networks.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

Online flow size prediction for improved network routing.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them.
Proceedings of the 15th ACM Workshop on Hot Topics in Networks, 2016

Enabling ECN over Generic Packet Scheduling.
Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016

2015
Joint VM placement and topology optimization for traffic scalability in dynamic datacenter networks.
Comput. Networks, 2015

Information-Agnostic Flow Scheduling for Commodity Data Centers.
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

Rapier: Integrating routing and scheduling for coflow-aware data center networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

WaveCube: A scalable, fault-tolerant, high-performance optical data center architecture.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Guaranteeing deadlines for inter-datacenter transfers.
Proceedings of the Tenth European Conference on Computer Systems, 2015

2014
Discount Counting for Fast Flow Statistics on Flow Size and Flow Volume.
IEEE/ACM Trans. Netw., 2014

OSA: An Optical Switching Architecture for Data Center Networks With Unprecedented Flexibility.
IEEE/ACM Trans. Netw., 2014

Where the Sidewalk Ends: Extending the Internet AS Graph Using Traceroutes from P2P Users.
IEEE Trans. Computers, 2014

RepFlow on node.js: Cutting Tail Latency in Data Center Networks at the Applications Layer.
CoRR, 2014

VirtualKnotter: Online virtual machine shuffling for congestion resolving in virtualized datacenter.
Comput. Networks, 2014

HadoopWatch: A first step towards comprehensive traffic forecasting in cloud computing.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

PAC: Taming TCP Incast Congestion Using Proactive ACK Control.
Proceedings of the 22nd IEEE International Conference on Network Protocols, 2014

PIAS: Practical Information-Agnostic Flow Scheduling for Data Center Networks.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014

BitBill: Scalable, Robust, Verifiable Peer-to-Peer Billing for Cloud Computing.
Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014

2013
Towards minimal-delay deadline-driven data center TCP.
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks, 2013

2012
DAC: Generic and Automatic Address Configuration for Data Center Networks.
IEEE/ACM Trans. Netw., 2012

A Measurement Study on Potential Inter-Domain Routing Diversity.
IEEE Trans. Netw. Serv. Manag., 2012

VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

Error Tolerant Address Configuration for Data Center Networks with Malfunctioning Devices.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

GARDEN: Generic Addressing and Routing for Data Center Networks.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Survey on routing in data centers: insights and future directions.
IEEE Netw., 2011

Border gateway protocol monitoring system can be cost effective.
IET Commun., 2011

Automatically configuring the network layer of data centers for cloud computing.
IBM J. Res. Dev., 2011

2010
Dynamic queuing sharing mechanism for per-flow quality of service control.
IET Commun., 2010

Generic and automatic address configuration for data center networks.
Proceedings of the ACM SIGCOMM 2010 Conference on Applications, 2010

A Translation Framework for Virtual Execution Environment on CPU/GPU Architecture.
Proceedings of the Third International Symposium on Parallel Architectures, 2010

Evaluating Potential Routing Diversity for Internet Failure Recovery.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

DISCO: Memory Efficient and Accurate Flow Statistics for Network Measurement.
Proceedings of the 2010 International Conference on Distributed Computing Systems, 2010

2009
On the Eyeshots of BGP Vantage Points.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009


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