FedQueue
Cross-source consensus on FedQueue from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Evidence quality
Highlighted claims
- FedQueue combines online queue prediction, adaptive work budgeting, and staleness-aware admission and aggregation. — FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
- FedQueue uses scheduler delay as an online signal for work budgeting, admission control, and aggregation in cross-facility federated learning. — FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
- FedQueue aims to improve wall-clock time-to-quality by predicting queue delays and adapting local work to a synchronization horizon. — FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
- FedQueue achieved the best final test losses in the production deployment and was the only method to reduce loss below 0.4. — FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
- FedQueue's advantage is not confined to synthetic queue models, according to the real-world LLaMA2-7B experiment. — FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training