works on
asynchronous distributed reinforcement learning 1congestion control 1data-plane programming 1in-network acceleration 1model staleness reduction 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.NI2026

Shesha: Opportunistic In-network Acceleration of Asynchronous Distributed Reinforcement Learning

Nehal Baganal Krishna, Anam Tahir, Firas Khamis +3

Olaf is a programmable in‑network accelerator that aggregates asynchronous reinforcement‑learning model updates within the data‑plane queue to reduce staleness and congestion, impr…