NebulaFL combines GitFL-style asynchronous training with a decentralized model-rotation scheme and reward-based resource scheduling for JointCloud federated learning.
Quantitative timing analysis for cyber-physical systems using uncertainty-aware scenario- based specifications,
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NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
NebulaFL combines GitFL-style asynchronous training with a decentralized model-rotation scheme and reward-based resource scheduling for JointCloud federated learning.