Latest

• REFL: Resource-Efficient Federated Learning
• Empirical Analysis of Federated Learning in Heterogeneous Environments
• Rethinking gradient sparsification as total error minimization
• Compressed Communication for Distributed Deep Learning: Survey and Quantitative Evaluation
• SIDCo
• An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
• DC2: Delay-aware Compression Control for Distributed Machine Learning
• On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
• DC2