Federated Traffic Engineering with Supervised Learning in Multi-region Networks

ATRIA: Autonomous Traffic-Aware Transmission Scheduling for Industrial Wireless

Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Mult

Reconfiguring Cell Selection in 4G/5G Networks

Demo: FLARE: Federated Active Learning Assisted by Naming for Responding to Emer

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks

NetFC: enabling accurate floating-point arithmetic on programmable switches

PIPO: Efficient Programmable Scheduling for Time Sensitive Networking

Cooperatively Constructing Cost-Effective Content Distribution Networks upon

HLS: A Packet Scheduler for Hierarchical Fairness

ISP self-operated BGP anomaly detection based on weakly supervised learning

Hopping on Spectrum: Measuring and Boosting a Large-scale Dual-band Wireless Net

Generalizable and Interpretable Deep Learning for Network Congestion Prediction

DNSonChain: Delegating Privacy-Preserved DNS Resolution to Blockchain

MPLibra: Complementing the Benefits of Classic and Learning-based Multipath Cong

Antelope: A Framework for Dynamic Selection of Congestion Control Algorithms

DOVE: Diagnosis-driven SLO Violation Detection

Receiver-Driven RDMA Congestion Control by Differentiating Congestion Types

TROD: Evolving From Electrical Data Center to Optical Data Center

Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestrati