2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
ICML 2025poster
Decentralized learning has emerged as a powerful approach for handling large datasets across multiple machines in a communication-efficient manner. However, such methods often face scalability limitations, as increasing the number of machines beyond a certain point negatively impacts convergence rat…