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HybridFLow

model1 events
papersSEP 10 04:00 UTC

Paper proposes HybridFLow, SDN-orchestrated client partitioning for hybrid federated learning

A new arXiv paper introduces HybridFLow, a system that uses software-defined networking to decide how to partition clients in cross-silo federated learning. It targets wide-area deployments where network delays dominate the time needed to finish each training round. The approach aims to help distributed institutions train shared models without moving raw data while reducing round completion times.

federated-learning/networking/distributed-training/ml-systems