Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data

Design and Operation of Shared Machine Learning Clusters on Campus

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models

GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters

A Game-theoretic Framework for Privacy-preserving Federated Learning

A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning

A Survey for Federated Learning Evaluations: Goals and Measures

Decentralized Scheduling for Data-Parallel Tasks in the Cloud

Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-Agent Reinforcement Learning Framework

Evolutionary Computing Empowered Community Detection in Attributed Networks

Federated Meta Embedding Concept Stock Recommendation

FLOWSAIL: Fine-Grained and Practical Flow Control for Datacenter Networks

High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning

Load Balancing With Multi-Level Signals for Lossless Datacenter Networks

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework

SoK: Fully Homomorphic Encryption Accelerators

Accelerating Neural Recommendation Training with Embedding Scheduling

Accelerating Privacy-Preserving Machine Learning With GeniBatch

Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA

Astraea: Towards Fair and Efficient Learning-based Congestion Control

Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast

Efficient Decentralized Federated Singular Vector Decomposition

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Fast, Scalable, and Accurate Rate Limiter for RDMA NICs

Flow Scheduling with Imprecise Knowledge

MagicDrive: Street view generation with diverse 3D geometry control

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models

Towards Domain-Specific Network Transport for Distributed DNN Training

Triple-D: Denoising Distant Supervision for High-Quality Data Creation

Understanding Communication Characteristics of Distributed Training

A One-Pass Clustering Based Sketch Method for Network Monitoring

Efficient DRL-Based Congestion Control With Ultra-Low Overhead

Enabling ECN for Datacenter Networks with RTT Variations

Enabling Edge-Cloud Video Analytics for Robotics Applications

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

Federated Clique Percolation for Privacy-preserving Overlapping Community Detection

LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath

Privacy-Preserving Multi-Label Propagation Based on Federated Learning

Taming the Aggressiveness of Heterogeneous TCP Traffic in Data Center Networks

Trading Off Privacy, Utility, and Efficiency in Federated Learning

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training

Privacy-preserving Computing for Big Data Analytics and AI

Accurate and Scalable Rate Limiter for RDMA NICs

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing

Enabling Load Balancing for Lossless Datacenters

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs

In-Network Key-Value Cache with Linearizability

Practical and Secure Federated Recommendation with Personalized Mask

Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation

RIPGeo: Robust Street-Level IP Geolocation

Scalable and Efficient Full-Graph GNN Training for Large Graphs

Scaling Switch-driven Flow Control with Aquarius

Secure Forward Aggregation for Vertical Federated Neural Networks

SRNIC: A Scalable Architecture for RDMA NICs

Tabi: An Efficient Multi-Level Inference System for Large Language Models

Towards Fine-Grained and Practical Flow Control for Datacenter Networks

Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation

Aeolus: A Building Block for Proactive Transport in Datacenter Networks

Congestion Control for Cross-Datacenter Networks

Efficient Federated Matrix Factorization Against Inference Attacks

Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data

No Free Lunch Theorem for Security and Utility in Federated Learning

隐私计算

Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training

AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks

Cutting Tail Latency in Commodity Datacenters with Cloudburst

DGS: Communication-Efficient Graph Sampling for Distributed GNN Training

FAERY: An FPGA-accelerated Embedding-based Retrieval System

Herald: An Embedding Scheduler for Distributed Embedding Model Training

Liteflow: Towards High-Performance Adaptive Neural Networks for Kernel Datapath

Load Balancing in PFC-enabled Datacenter Networks

Multi-Objective Congestion Control

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data

Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting

Sensitivity Design and Reliability Analysis of Pressure-sensitive Layer for 5G Flexible Wearable Sensors

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud

Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead

Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing

Urban Region Profiling via Multi-Graph Representation Learning

Bds+: An inter-datacenter data replication system with dynamic bandwidth separation

Hone: Mitigating Stragglers in Distributed Stream Processing with Tuple Scheduling

One More Config Is Enough: Saving (DC)TCP for High-Speed Extremely Shallow-Buffered Datacenters

Providing Bandwidth Guarantees, Work Conservation and Low Latency Simultaneously in the Cloud

Datacenter Traffic Optimization with Deep Reinforcement Learning

Secure Efficient Federated KNN for Recommendation Systems

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

Enabling Edge-Cloud Video Analytics For Robotics Applications

FlashPass: Proactive Congestion Control for Shallow-buffered WAN

HAFLO: GPU-Based Acceleration for Federated Logistic Regression

Jellyfish: Locality-Sensitive Subflow Sketching

Managing Multicast Membership for Software Defined Data Center Network

MultiSiam: Self-supervised multi-instance siamese representation learning for autonomous driving

RPO: Receiver-driven Transport Protocol Using Opportunistic Transmission in Data Center

Modulating Energy Level on an A-D-A′-D-A-Type Unfused Acceptor by a Benzothiadiazole Core Enables Organic Solar Cells with Simple Procedure and High Performance

Rethinking Fast and Friendly Transport in Data Center Networks

Secure Federated Matrix Factorization

数据中心网络传输协议综述

Federated Recommendation Systems

Aeolus: A Building Block for Proactive Transport in Datacenters

Clustering-preserving Network Flow Sketching

Exploring Clustering of Bandits for Online Recommendation System

One More Config is Enough: Saving (DC)TCP for High-speed Extremely Shallow-buffered Datacenters

RAT-Resilient Allreduce Tree for Distributed Machine Learning

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

Bridging the edge-cloud barrier for real-time advanced vision analytics

Congestion control for cross-datacenter networks

Enabling ECN for Datacenter Networks with RTT Variations

Quantifying the Performance of Federated Transfer Learning

Resilient disaggregated network flow monitoring

Rethinking transport layer design for distributed machine learning

Secure Federated Matrix Factorization

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks

Neural Network Meets DCN

RepNet: Cutting Latency with Flow Replication in Data Center Networks

Augmenting Proactive Congestion Control with AEOLUs

AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization

BDS: A Centralized Near-Optimal Overlay Network for Inter-Datacenter Data Replication

Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant-Queue Binding

Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning

Pas de deux: Shape the circuits, and shape the apps too!

PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication

Guaranteeing Deadlines for Inter-Data Center Transfers

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers

Toward A Scalable, Fault-Tolerant, High-Performance Optical Data Center Architecture

OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility

Combining ECN and RTT for Datacenter Transport

Congestion Control for High-speed Extremely Shallow-buffered Datacenter Networks

Enabling Wide-spread Communications on Optical Fabric with MegaSwitch

Rate-Aware Flow Scheduling for Commodity Data Center Networks

Resilient Datacenter Load Balancing in the Wild

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

Towards Zero Copy Dataflows Using RDMA

Explicit Path Control in Commodity Data Centers: Design and Applications

Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application

CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them

Enabling ECN in Multi-Service Multi-Queue Data Centers

Enabling ECN Over Generic Packet Scheduling

Online Flow Size Prediction for Improved Network Routing

OPTAS: Decentralized Flow Monitoring and Scheduling for Tiny Tasks

Providing Bandwidth Guarantees, Work Conservation and Low Latency Simultaneously in the Cloud

Scheduling Mix-Flows in Commodity Datacenters with Karuna

Stream: Decentralized Opportunistic Inter-Coflow Scheduling for Datacenter Networks

Fully programmable and scalable optical switching fabric for petabyte data center

Joint VM Placement and Topology Optimization for Traffic Scalability in Dynamic Datacenter Networks

域间网络保护路由

Explicit Path Control in Commodity Data Centers: Design and Applications

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing

Guaranteeing Deadlines for Inter-Datacenter Transfers

Information-Agnostic Flow Scheduling for Commodity Data Centers

RAPIER: Integrating Routing and Scheduling for Coflow-aware Data Center Networks

WaveCube: A Scalable, Fault-tolerant, High-performance Optical Data Center Architecture

Discount Counting for Fast Flow Statistics on Flow Size and Flow Volume

OSA: An optical switching architecture for data center networks with unprecedented flexibility

VirtualKnotter: Online virtual machine shuffling for congestion resolving in virtualized datacenter

Where the sidewalk ends: Extending the internet as graph using traceroutes from P2P users

BitBill: Scalable, robust, verifiable peer-to-peer billing for cloud computing

CoSwitch: A Cooperative Switching Design for Software Defined Data Center Networking

HadoopWatch: A First Step Towards Comprehensive Traffic Forecasting in Cloud Computing

PAC: Taming TCP Incast Congestion Using Proactive ACK Control

PIAS: Practical information-agnostic flow scheduling for data center networks

Towards Minimal-delay Deadline-driven Data Center TCP

A measurement study on potential inter-domain routing diversity

DAC: Generic and Automatic Address Configuration for Data Center Networks

Error Tolerant Address Configuration for Data Center Networks with Malfunctioning Devices

GARDEN: Generic addressing and routing for data center networks

OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility

VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter

Border gateway protocol monitoring system can be cost effective

Survey on routing in data centers: Insights and future directions

All-Optical Switching Data Center Network Supporting 100Gbps Upgrade and Mixed-Line-Rate Interoperability

Dynamic queuing sharing mechanism for per-flow quality of service control

DISCO: Memory Efficient and Accurate Flow Statistics for Network Measurement

Evaluating Potential Routing Diversity for Internet Failure Recovery

Generic and Automatic Address Configuration for Data Center Networks

Compressing the Flow Statistics Counters

On the Eyeshots of BGP Vantage Points

Where the Sidewalk Ends:Extending the Internet AS Graph Using Traceroutes From P2P Users

A Range-adaptive Directional MAC Protocol for Wireless Ad Hoc Networks with Smart Antennas

Addressing Deafness Problems in Wireless Ad-hoc Networks with Directional Antennas

On the Analysis of Efficient Hybrid MAC Protocol for Wireless Sensor Networks

A New Media Access Control Protocol for Wireless Sensor Networks

A New Media Access Control Protocol for Ad-hoc Wireless Sensor Networks

A New Method of Generating Synchronizable Test Sequences that Detect Output-shifting Faults Based on Multiple UIO Sequences

A Probabilistic Energy-Efficient Routing (PEER) Scheme for Ad-hoc Sensor Networks

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

Article

Bridging the edge-cloud barrier for real-time advanced vision analytics

Conference paper

Congestion control for cross-datacenter networks

Conference paper

Enabling ECN for Datacenter Networks with RTT Variations

Conference paper

Quantifying the Performance of Federated Transfer Learning

Conference paper

Resilient disaggregated network flow monitoring

Conference paper

Rethinking transport layer design for distributed machine learning

Conference paper

Secure Federated Matrix Factorization

Conference paper

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks

Conference paper

Neural Network Meets DCN

Article

RepNet: Cutting Latency with Flow Replication in Data Center Networks

Article

Augmenting Proactive Congestion Control with AEOLUs

Conference paper

AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization

Conference paper

BDS: A Centralized Near-Optimal Overlay Network for Inter-Datacenter Data Replication

Conference paper

Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant-Queue Binding

Conference paper

Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning

Conference paper

Pas de deux: Shape the circuits, and shape the apps too!

Conference paper

PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication

Conference paper

Guaranteeing Deadlines for Inter-Data Center Transfers

Article

PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers

Article

Toward A Scalable, Fault-Tolerant, High-Performance Optical Data Center Architecture

Article

OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility

Book chapter

Combining ECN and RTT for Datacenter Transport

Conference paper

Congestion Control for High-speed Extremely Shallow-buffered Datacenter Networks

Conference paper

Enabling Wide-spread Communications on Optical Fabric with MegaSwitch

Conference paper

Rate-Aware Flow Scheduling for Commodity Data Center Networks

Conference paper

Resilient Datacenter Load Balancing in the Wild

Conference paper

Tagger: Practical PFC Deadlock Prevention in Data Center Networks

Conference paper

Towards Zero Copy Dataflows Using RDMA

Conference paper

Explicit Path Control in Commodity Data Centers: Design and Applications

Article

Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application

Article

CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark

Conference paper

Deadlocks in Datacenter Networks: Why Do They Form, and How to Avoid Them

Conference paper

Enabling ECN in Multi-Service Multi-Queue Data Centers

Conference paper

Enabling ECN Over Generic Packet Scheduling

Conference paper

Online Flow Size Prediction for Improved Network Routing

Conference paper

OPTAS: Decentralized Flow Monitoring and Scheduling for Tiny Tasks

Conference paper

Providing Bandwidth Guarantees, Work Conservation and Low Latency Simultaneously in the Cloud

Conference paper

Scheduling Mix-Flows in Commodity Datacenters with Karuna

Conference paper

Stream: Decentralized Opportunistic Inter-Coflow Scheduling for Datacenter Networks

Conference paper

Fully programmable and scalable optical switching fabric for petabyte data center

Article

Joint VM Placement and Topology Optimization for Traffic Scalability in Dynamic Datacenter Networks

Article

域间网络保护路由

Article

Explicit Path Control in Commodity Data Centers: Design and Applications

Conference paper

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing

Conference paper

Guaranteeing Deadlines for Inter-Datacenter Transfers

Conference paper

Information-Agnostic Flow Scheduling for Commodity Data Centers

Conference paper

RAPIER: Integrating Routing and Scheduling for Coflow-aware Data Center Networks

Conference paper

WaveCube: A Scalable, Fault-tolerant, High-performance Optical Data Center Architecture

Conference paper

Discount Counting for Fast Flow Statistics on Flow Size and Flow Volume

Article

OSA: An optical switching architecture for data center networks with unprecedented flexibility

Article

VirtualKnotter: Online virtual machine shuffling for congestion resolving in virtualized datacenter

Article

Where the sidewalk ends: Extending the internet as graph using traceroutes from P2P users

Article

BitBill: Scalable, robust, verifiable peer-to-peer billing for cloud computing

Conference paper

CoSwitch: A Cooperative Switching Design for Software Defined Data Center Networking

Conference paper

HadoopWatch: A First Step Towards Comprehensive Traffic Forecasting in Cloud Computing

Conference paper

PAC: Taming TCP Incast Congestion Using Proactive ACK Control

Conference paper

PIAS: Practical information-agnostic flow scheduling for data center networks

Conference paper

Towards Minimal-delay Deadline-driven Data Center TCP

Conference paper

A measurement study on potential inter-domain routing diversity

Article

DAC: Generic and Automatic Address Configuration for Data Center Networks

Article

Error Tolerant Address Configuration for Data Center Networks with Malfunctioning Devices

Conference paper

GARDEN: Generic addressing and routing for data center networks

Conference paper

OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility

Conference paper

VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter

Conference paper

Border gateway protocol monitoring system can be cost effective

Article

Survey on routing in data centers: Insights and future directions

Article

All-Optical Switching Data Center Network Supporting 100Gbps Upgrade and Mixed-Line-Rate Interoperability

Conference paper

Dynamic queuing sharing mechanism for per-flow quality of service control

Article

DISCO: Memory Efficient and Accurate Flow Statistics for Network Measurement

Conference paper

Evaluating Potential Routing Diversity for Internet Failure Recovery

Conference paper

Generic and Automatic Address Configuration for Data Center Networks

Conference paper

Compressing the Flow Statistics Counters

Conference paper

On the Eyeshots of BGP Vantage Points

Conference paper

Where the Sidewalk Ends:Extending the Internet AS Graph Using Traceroutes From P2P Users

Conference paper

A Range-adaptive Directional MAC Protocol for Wireless Ad Hoc Networks with Smart Antennas

Article

Addressing Deafness Problems in Wireless Ad-hoc Networks with Directional Antennas

Conference paper

On the Analysis of Efficient Hybrid MAC Protocol for Wireless Sensor Networks

Conference paper

A New Media Access Control Protocol for Wireless Sensor Networks

Article

A New Media Access Control Protocol for Ad-hoc Wireless Sensor Networks

Conference paper

A New Method of Generating Synchronizable Test Sequences that Detect Output-shifting Faults Based on Multiple UIO Sequences

Conference paper

A Probabilistic Energy-Efficient Routing (PEER) Scheme for Ad-hoc Sensor Networks

Conference paper