LEAF: A Simple Benchmark to Test Learning on Many Devices
Phones, wearables and cars collect lots of personal info every day, and that data can make apps smarter right on your device.
But because data comes from many different people and places it's hard to measure if new methods really work in the wild.
LEAF tries to fix that by giving researchers a shared place to test ideas.
It brings together open datasets, an easy to use evaluation framework, and ready-made code so teams can compare fairly.
The goal is to reflect real needs like user privacy, messy networks, and uneven data — things that simple lab tests usually miss.
LEAF are meant to speed up progress while keeping results honest, so developers and researchers can build tech that actually helps.
If you care about better apps on your phone without sending all your data away, this kind of testing matters.
It makes research more useful, and hopefullly more respectful of people who use the devices.
Read article comprehensive review in Paperium.net:
LEAF: A Benchmark for Federated Settings
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