importance_sampler#
Module Contents#
Refer to [Stochastic Optimization with Bandit Sampling](https://arxiv.org/abs/1708.02544). |
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Refer to [Optimal Client Sampling for Federated Learning](arxiv.org/abs/2010.13723). |
- class MultiArmedBanditSampler(n, T, L)#
Bases:
fedlab.contrib.client_sampler.base_sampler.FedSampler
Refer to [Stochastic Optimization with Bandit Sampling](https://arxiv.org/abs/1708.02544).
- sample(batch_size)#
- update(loss)#
- class OptimalSampler(n, k)#
Bases:
fedlab.contrib.client_sampler.base_sampler.FedSampler
Refer to [Optimal Client Sampling for Federated Learning](arxiv.org/abs/2010.13723).
- sample(size=None)#
- update(loss)#
- optim_solver(norms)#