Search Results for author:
Found 2 papers, 2 papers with code
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
State-of-the-art decentralized learning algorithms typically require the data distribution to be Independent and Identically Distributed (IID).
CoDeC: Communication-Efficient Decentralized Continual Learning
Decentralized learning allows serverless training with spatially distributed data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
