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example/implementation for FedBalancer, with a new sampler category #380

Merged
merged 1 commit into from
Apr 6, 2023
Merged

example/implementation for FedBalancer, with a new sampler category #380

merged 1 commit into from
Apr 6, 2023

Commits on Apr 5, 2023

  1. example/implementation for FedBalancer, with a new datasampler category 

    Add a new category, "datasampler", which selects trainers' data at FL rounds.

Add FedBalancer (Jaemin Shin et al., FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients, MobiSys'22) as a new datasampler, which actively selects more important training samples of trainers to speed up global FL.
Implement a control scheme of "deadline", which is only used for fedbalancer's sample selection at this version. Deadline-based round termination will be supported in later updates.

Refer to lib/python/flame/examples/fedbalancer_mnist/ for example of running fedbalancer

Things that current version of fedbalancer do not support:
- Advanced trainer selection with Oort proposed in FedBalancer
- Other FL modes: hybrid, hierarchical
    @jaemin-shin
    jaemin-shin committed Apr 5, 2023
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