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Incentivizing honest participation in federated learning is now possible without ground truth labels, even when some participants are trying to game the system.
Steering isn't just a trick; it's a fundamentally different way to adapt language models, offering localized, reversible control that traditional fine-tuning can't match.
Blockchain-based federated learning can be made practical by using multi-task peer prediction to overcome the computational bottleneck of contribution measurement.