Federated Learning is an evolving field shaped by interdisciplinary collaboration. This section introduces avenues for engagement with the broader FL community, including opportunities for knowledge exchange, networking, and contribution to shared resources.
A professional group with 950 followers, sharing articles, updates, and networking opportunities related to FL.
The world's largest Federated Learning conference, organized by Flower Labs, featuring research and industry talks, poster sessions, and networking opportunities for the FL community.
Hosted by Flower Labs, this Slack community supports the open-source Flower framework, compatible with PyTorch and TensorFlow. Channels include
Organized by Flower Labs, this meetup group hosts events (virtual and in-person) focused on the Flower framework and federated AI.
A Slack community centered around IBM’s FL framework, offering channels like
Hosts technical discussions on federated learning, especially related to NVIDIA tools like NVIDIA FLARE. Threads cover topics like efficient FL for LLMs and practical implementations.
OpenMined is a global open-source community focused on privacy-preserving machine learning, including federated learning. It provides education, tools, and collaboration opportunities for privacy-enhancing technologies.
A large community (17,000+ members) focused on privacy-enhancing technologies, including FL. Features channels like
A dedicated subreddit for discussing federated learning applications, research, and challenges. It’s a niche community for sharing ideas, asking questions, and posting resources related to FL.
A broad machine learning subreddit with frequent federated learning (FL) discussions, such as threads on why FL isn’t more mainstream. It’s a large community with diverse ML topics.
A learning-focused subreddit with FL-related posts, including beginner-friendly resources and tutorials. Suitable for those new to FL or ML.
TensorOperaAI is a community and platform focused on federated learning and privacy-preserving AI, providing resources, tools, and collaboration opportunities for researchers and practitioners.