Abstract: In decentralized machine learning over a network of workers, each worker updates its local model as a weighted average of its local model and all models received from its neighbors.

Abstract: Facing large-scale online learning, the reliance on sophisticated model architectures often leads to nonconvex distributed optimization, which is more challenging than convex problems.

Forbes contributors publish independent expert analyses and insights. Keely founded Making Space, closing the disability employment gap. "One of the most striking takeaways from SYNC25 was how many ...