attribution-reporting-api
attribution-reporting-api copied to clipboard
What models may be considered in the future for the aggregation service?
What other models, such as outputting buckets and values if the value exceeds a noisy threshold, may be considered in future iterations?
Have you considered enabling the training of ML models directly in the TEE? This would create a lot of value for the API, as it is arguably a lot easier to train ML models on granular data rather than on noisy aggregated data.