Edge AI Breaks When Everyone Has to Wait
BFL-MEC is really a paper about coordination: once clients are mobile and asynchronous, the learning rule, the reward rule, and the trust mechanism all have to acknowledge that fact.
ReadNot Every Ledger Belongs on a Tiny Device
This survey becomes much more useful when read as an architecture lesson: choose a ledger by hardware constraints, consensus costs, and vertical fit, not by ideology.
ReadWhat Should a Blockchain Remember in Federated Learning?
FAIR-BFL is most interesting when read as a systems essay: measure contribution from gradient geometry, keep only the right state on-chain, and let fairness shape both incentives and aggregation.
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