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Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration for DAC 2021 by Zirui Xu et al. federated learning https://shop.elsevier.com/books/federated-learning-for-medical-imaging/li/978-0-443-23641-9 Federated Learning for Medical Imaging - 1st Edition | Elsevier Shop federated learningfor medicalimagingeditionelsevier https://www.tensorflow.org/federated/tutorials/sparse_federated_learning?authuser=1 Client-efficient large-model federated learning via federated_select and sparse aggregation |... large modelfederated learningclientefficient https://collaborate.princeton.edu/en/publications/cooperative-federated-learning-over-ground-to-satellite-integrate/ Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local... federated learningcooperativeground https://miun.diva-portal.org/smash/record.jsf?pid=diva2:1876999 Image Classification using Federated Learning with Differential Privacy : A Comparison of Different... image classificationfederated learning https://www.youtube.com/playlist?list=PLSIUOFhnxEiD9uihG5t9ABdPhSVqQ3HWA 2021 Google Workshop on Federated Learning and Analytics - YouTube federated learninggoogleworkshopanalyticsyoutube https://research.ibm.com/blog/what-is-federated-learning What is federated learning? - IBM Research Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications. what isfederated learningibmresearch https://scholars.cityu.edu.hk/en/projects/thermodynamics-approach-for-federated-learning-fundamental-limits/ Thermodynamics Approach for Federated Learning: Fundamental Limits and Applications - CityUHK... federated learningthermodynamicsapproachfundamentallimits https://arxiv.org/abs/2509.24462 [2509.24462] Distributionally Robust Federated Learning with Outlier Resilience Abstract page for arXiv paper 2509.24462: Distributionally Robust Federated Learning with Outlier Resilience federated learningrobustoutlierresilience https://www.flics-conference.org/ FLICS 2026 | Federated Learning and Intelligent Computing Systems | 9-12 June, 2026 | Valencia,... 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Abstract page for arXiv paper 2007.09208: Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated... number of roundsfederated learning https://sanghani.cs.vt.edu/content/sanghani_cs_vt_edu/en/research/publications/2022/efficient-federated-learning-on-knowledge-graphs-via-privacy-preserving-relation-embedding-aggregation.html Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding... federated learningon knowledgeefficient https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1800963 Federated learning for medical applications : A taxonomy, current trends, challenges, and future... federated learningfor medical https://www.cst.cam.ac.uk/news/seeking-volunteers-federated-learning-user-study Seeking volunteers for federated learning user study. | Department of Computer Science and... Researchers here are seeking up to 500 volunteers for an experiment that could help shape the future of private digital advertising. department of computerseeking volunteersfederated learninguser study https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/A-novel-local-differential-privacy-federated/99822254602346 A novel local differential privacy federated learning under multi-privacy regimes - University of... 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