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

Nehal Baganal Krishna, Anam Tahir, Firas Khamis +3

Large-scale training for distributed Machine Learning can cause congestion at bottleneck switch ports, leading to model staleness through update losses. This is particularly detrim…