Latest

• A Comprehensive Empirical Study of Heterogeneity in Federated Learning
• Natural Compression for Distributed Deep Learning
• Empirical Analysis of Federated Learning in Heterogeneous Environments
• Efficient Sparse Collective Communication and its application to Accelerate Distributed Deep Learning
• GRACE: A Compressed Communication Framework for Distributed Machine Learning
• Scaling Distributed Machine Learning with In-Network Aggregation
• On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
• IntML: Natural Compression for Distributed Deep Learning