Role in this project:
ML Engineer Contributions:2 releases, 1 review, 24 commits in 9 months
Contributions summary:Hardik contributed to the development of the `tensorflow-federated` repository by modifying and testing code related to iterative process compositions for machine learning on decentralized data. Their work included enhancing the framework to allow datasets within nested computation argument structures in the iterative processing. Furthermore, they addressed dependency conflicts in the notebook tutorials, upgrading versions of `absl-py`, `jax`, and `jaxlib` to align with the project's requirements.