Sparse Federated Representation Learning for smart agriculture microgrid orchestration under multi-jurisdictional compliance

The author describes a personal learning journey while attempting to orchestrate a smart agriculture microgrid under multi-jurisdictional compliance using sparse federated learning. They encountered significant challenges with model convergence, communication overhead, and privacy violations due to dense data representations.