A Flexible and High-Fidelity Approach to Distributed DNN Training Emulation
Collaborative Learning Experimentation Testbed
An Efficient Statistical-Based Gradient Compression Technique for Distributed Training Systems
Efficient Sparse Collective Communication
GRAdient ComprEssion for distributed deep learning
A Systems Approach to Tackling Fairness in Federated Learning
Delay-aware Communication Control for Distributed ML
Scaling Distributed Machine Learning with In-Network Aggregation
In-Network Computation is a Dumb Idea Whose Time Has Come