Accelerating Sharded Data Parallelism at Scale with Federated Learning

A technical paper proposing methods to speed up large-scale distributed training, with no direct safety or misuse implications.

Auto-scored: Purely technical efficiency improvement in distributed training, not a risk or mitigation event under the rubric.