https://pypi.org/project/fedmodelkit/ Recent updates to the Python Package Index for FedModelKit en https://pypi.org/project/fedmodelkit/0.8.0/ Tools to scaffold and run privacy-preserving federated learning experiments across distributed data sites. alessandro.ceresi@upm.es Tue, 28 Apr 2026 15:46:56 GMT https://pypi.org/project/fedmodelkit/0.7.0/ Tools to scaffold and run privacy-preserving federated learning experiments across distributed data sites. alessandro.ceresi@upm.es Wed, 29 Oct 2025 10:30:42 GMT https://pypi.org/project/fedmodelkit/0.6.8/ LOW_LEVEL_API: This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Mon, 14 Jul 2025 15:09:37 GMT https://pypi.org/project/fedmodelkit/0.6.7/ LOW_LEVEL_API: This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Mon, 14 Jul 2025 15:02:09 GMT https://pypi.org/project/fedmodelkit/0.6.6/ LOW_LEVEL_API: This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Mon, 14 Jul 2025 14:54:25 GMT https://pypi.org/project/fedmodelkit/0.6.5/ LOW_LEVEL_API: This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Fri, 11 Jul 2025 10:51:11 GMT https://pypi.org/project/fedmodelkit/0.6.1/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Wed, 09 Jul 2025 11:02:28 GMT https://pypi.org/project/fedmodelkit/0.6.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Wed, 09 Jul 2025 10:45:54 GMT https://pypi.org/project/fedmodelkit/0.5.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Tue, 08 Jul 2025 10:29:24 GMT