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Forget PSI: Sherpa.ai's multi-party private set union enables privacy-preserving entity alignment without revealing which data points are shared, even with noisy identifiers.
FedLECC slashes communication overhead in federated learning by 50% while boosting accuracy by 12%, all by cleverly picking clients based on data similarity and loss.
