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Private genome MoE inference now runs on volunteer web browsers, matching datacenter accuracy without revealing DNA sequences to any single device.
Genomic foundation models can be watermarked through distillation, retaining a detectable signal of synthetic training data even after significant model compression and adversarial attacks.
Private genomic inference is now feasible for massive MoE models, with untrusted servers handling 95.8% of parameters under homomorphic encryption without sacrificing accuracy.