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cs.DC2026
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
Yijiang Li, Emon Dey, Zilinghan Li +3
Federated learning (FL) across multiple HPC facilities faces stochastic admission delays from batch schedulers that dominate wall-clock time. Synchronous FL suffers from severe str…
cs.LG2026
Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
Fateme Maleki, Krishnan Raghavan, Farzad Yousefian
Federated learning (FL) is a communication-efficient collaborative learning framework that enables model training across multiple agents with private local datasets. While the bene…