Networking

When RDMA Goes Long-Haul: Characterization, Modeling, and Verbs-Level Emulation with Implications for Federated Learning

Characterization, modeling, and verbs-level emulation of long-haul RDMA with implications for federated learning.

Jan 1, 2026

Long-Haul RDMA

This project investigates long-haul RDMA for geo-distributed machine learning systems. The project includes: Characterization, modeling, and verbs-level emulation of long-haul RDMA behavior. Evaluation of whether long-haul RDMA can improve geo-distributed federated learning, including simulation and validation on a real-world testbed.

Jan 1, 2025

Can Long-Haul RDMA Benefit Federated Learning?

Communication-centric study of long-haul RDMA for geo-distributed federated learning.

Jan 1, 2025