{"data":{"slug":"chaoyanghe-awesome-federated-learning","name":"Awesome-Federated-Learning","tagline":"FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai","github_url":"https://github.com/chaoyanghe/Awesome-Federated-Learning","owner":"chaoyanghe","repo":"Awesome-Federated-Learning","owner_avatar_url":"https://avatars.githubusercontent.com/u/7238845?v=4","primary_language":null,"stars":2015,"forks":332,"topics":["adversarial-attack-and-defense","communication-efficiency","computation-efficiency","computer-vision","continual-learning","decentralized-federated-learning","distributed-optimization","federated-learning","hierarchical-federated-learning","incentive-mechanism","interpretability","machine-learning","neural-architecture-search","non-iid","privacy","semi-supervised-learning","straggler-problem","transfer-learning","vertical-federated-learning","wireless-communication"],"archived":false,"github_pushed_at":"2022-09-03T20:03:02+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/chaoyanghe-awesome-federated-learning","markdown_url":"https://www.graphcanon.com/tools/chaoyanghe-awesome-federated-learning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chaoyanghe-awesome-federated-learning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chaoyanghe-awesome-federated-learning","description":"FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai","homepage_url":null,"license":null,"open_issues":3,"watchers":86,"ai_summary":null,"readme_excerpt":"# System Challenges: communication and computational resource constrained, software and hardware heterogeneity, and FL wireless communication system","github_created_at":"2020-07-03T19:26:03+00:00","created_at":"2026-07-11T23:38:53.69116+00:00","updated_at":"2026-07-11T23:38:57.526813+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"}],"tags":[{"slug":"communication-efficiency","name":"communication-efficiency"},{"slug":"continual-learning","name":"continual-learning"},{"slug":"federated-learning","name":"federated-learning"},{"slug":"computation-efficiency","name":"computation-efficiency"},{"slug":"distributed-optimization","name":"distributed-optimization"},{"slug":"decentralized-federated-learning","name":"decentralized-federated-learning"},{"slug":"adversarial-attack-and-defense","name":"adversarial-attack-and-defense"},{"slug":"computer-vision","name":"computer-vision"}],"trust":{"provenance":{"is_fork":false,"github_id":276973067,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:38:55.187Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1407,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:38:55.529Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:38:54.958Z"}}}}