This paper proposes MoX, an optimized load-oblivious routing method for efficient training and inference of sparse Model-of-Experts (MoE) on static direct-connect fabrics.

This paper proposes a distributed architecture for automating and controlling multi-vendor, multi-layer IP over DWDM networks using SDN, enabling end-to-end service lifecycle automation and closed-loo…

A hybrid active-online learning framework is proposed for label-efficient concept drift adaptation in optical network failure detection, achieving high accuracy and AUC scores with minimal samples and…

The paper proposes a novel hybrid key distribution architecture combining Quantum Key Distribution (QKD) with Kirchhoff-law-Johnson-noise (KLJN) statistical-physical key exchange to enhance key genera…

This paper proposes an FSO link with ORIS and HARQ for reliable data transmission, deriving statistical models, outage probability expressions, and delay characterization.

This paper introduces Virtual Time-Sensitive Networking (V-TSN), a software-defined overlay for gPTP-based synchronization and TSN traffic shaping over general-purpose networks without specialized har…

This paper proposes a wavelength division multiplexing (WDM)-based entanglement distribution approach using multiple spontaneous parametric downconversion (SPDC) broadband entangled photon pair source…

The paper develops a minimal dynamical model showing that adaptive softmax routing in Mixture-of-Experts (MoE) layers can undergo abrupt transitions to load imbalance via bifurcation mechanisms.

immUNITY is a system that enhances network security by combining programmable switches and SmartNICs to efficiently detect and mitigate low-volume and slow network attacks.

This paper proposes a scheme to coordinate 5G and TSN schedulers for supporting deterministic communications with bounded latencies in industrial applications.

This paper discusses recent advances in modeling Equalization-enhanced phase noise (EEPN) using the temporal Gaussian noise model for efficient system simulation in high symbol-rate coherent transmiss…

The ZCube topology, which eliminates path multiplicity and reduces switching hardware, delivers better performance for large model training and inference than traditional multipath datacenter networks…

The paper proposes a layered, modular network architecture combining Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to achieve scalable, end-to-end post-quantum security in multi-h…