Networking | Zhonghao Chen

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

Thu, 01 Jan 2026 00:00:00 +0000

This work characterizes long-haul RDMA behavior, develops modeling and verbs-level emulation support, and studies the implications for geo-distributed federated learning systems.

Can Long-Haul RDMA Benefit Federated Learning?

Wed, 01 Jan 2025 00:00:00 +0000

This work studies the potential of long-haul RDMA for federated learning workloads and compares RDMA and TCP/IP under geo-distributed settings.

Long-Haul RDMA

Wed, 01 Jan 2025 00:00:00 +0000

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.

Related publications:

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