Release notes

Version overview with key features, improvements, bug fixes, and instructions.

FEDn Studio 0.9.0

The latest update to Fedn Studio introduces significant changes to its user interface, aimed at improving the user experience, especially in federated learning sections. Key features include a compute-package registry for users to upload and choose packages for training sessions, a new step-by-step interface to guide users through session setup, a dedicated model and session page for a clearer view of training outcomes, and enhanced event page filtering for better readability.

  1. Generate Session ID if Not Set by User: Implemented functionality to automatically generate a session ID if not provided by the user.
  2. Validation and Messages for Package Form: Enhanced the validation checks and error messages for the package form in the studio, ensuring better input handling.
  3. Add Feature Flags: Introduced feature flags, allowing users to enable or disable specific functionalities within the application.
  4. Make Project Name More Visible: Improved the visibility of the active  project name in the studio interface for a better user experience.
  5. Session IDs Should Not Contain White Space: Implemented validation to ensure that session IDs do not contain white space for consistency.
  6. Add Support for JWT Authentication for Clients and REST: Integrated support for JSON Web Token (JWT) authentication for clients and REST API for enhanced security.
  7. Add Compute Package Registry: Introduced a compute package registry, providing a centralized system for managing and storing computational packages.
  8. Download Model from Studio UI: Added functionality to allow users to download models directly from the studio's user interface.
  9. Filter Functionality for Events: Implemented a filtering mechanism for events, enabling users to focus on specific events within the studio.
  10. Display Dates Formatted: Improved the display of dates in the studio by formatting them for better readability and understanding.
  11. Display Model Trail in Studio: Introduced the display of model trails in the studio interface, enhancing the tracking of model development.
  12. Download Metrics of Models as a CSV File (Model): Added the ability for users to download metrics of models in CSV file format.
  13. Add Helper Choice Numpy and Android: Included helper choices for Numpy and Android, assisting users in their development processes.
  14. Fedn v0.8: Integrated Fedn v0.8 into the studio application for utilizing the latest features and improvements.
  15. When No Clients Are Connected to Combiner, It Should Say So in the UI: Resolved the issue where the absence of connected clients to the combiner was not appropriately communicated.

For more information on how to get started, please visit the documentation:

https://guide.scaleoutsystems.com/#/docs

FEDn SDK 0.8.0

The release of FEDn version 0.8.0 emphasizes operational efficiency, increased robustness, and enhanced flexibility, enabling users to leverage federated learning more efficiently. The following summarizes the key improvements introduced in this version:

  1. Transition from FEDn Dashboard to FEDn Studio: This release transitions from the FEDn Dashboard to FEDn Studio, streamlining our graphical user interface (GUI) initiatives. The consolidation of dashboards into FEDn Studio reduces the allocation of effort and resources away from core development, allowing for focused enhancement of programming interfaces and command-line interactions within the FEDn SDK/CLI, thus ensuring an improved user experience.
  2. Enhanced Storage Management at the Combiner: One of the challenges in federated learning is storage management, particularly with intermediate model artefacts. To mitigate the risk of storage overflow, we've implemented a solution at the Combiner level. Intermediate models are now automatically deleted by default after aggregation. Users can opt to retain combined models per round for traceability, with the flexibility to configure this behavior according to their specific requirements.
  3. Unified gRPC Stream for Training and Validation: Previously, FEDn used separate gRPC streams for training and validation tasks, leading to potential complexities and inefficiencies. In response, we've refactored the system to leverage a single stream, enhancing robustness and simplifying communication. Different tasks are distinguished using a "type" field in the gRPC requests, ensuring clarity and consistency in data transmission.
  4. Dynamic Aggregator Configuration: With FEDn v0.8.0, we introduce dynamic aggregator configuration, allowing users to seamlessly switch between aggregators between training sessions. The addition of plugins such as FedAdam (fedopt) expands the toolkit, enabling users to choose the most suitable aggregator for their specific use cases. Switching between supported aggregators can be done using the start_session method in the APIClient.
  5. Documentation Enhancements: We've made several improvements to the documentation, with a particular focus on guiding users through the process of implementing custom aggregator plugins. These enhancements aim to empower users with the knowledge and resources needed to maximize the potential of federated learning within their projects.

For more information and detailed release notes, visit the FEDn GitHub repository:

https://github.com/scaleoutsystems/fedn/releases