Load-aware Tram-FL greedily schedules the training node and per-label data amount each round to maximize samples trained per second, and simulations report faster convergence than three baselines.
Edge-consensus learning: Deep learning on p2p networks with nonhomogeneous data,
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Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning
Load-aware Tram-FL greedily schedules the training node and per-label data amount each round to maximize samples trained per second, and simulations report faster convergence than three baselines.