The architecture of the cross-silo federated GBDT model. | Download Scientific Diagram
Framework of cross-device Federated Learning for online anomaly detection. | Download Scientific Diagram
ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers
Understanding Federated Learning Terminology
Federated Learning: Challenges, Methods, and Future Directions – Machine Learning Blog | ML@CMU | Carnegie Mellon University
Federated Learning: Challenges, Methods, and Future Directions – Machine Learning Blog | ML@CMU | Carnegie Mellon University
Facing small and biased data dilemma in drug discovery with federated learning | bioRxiv
What Is Federated Learning? | NVIDIA Blog
Diagnostics | Free Full-Text | Federated Learning in Ocular Imaging: Current Progress and Future Direction
![PDF] A Practical Cross-Device Federated Learning Framework over 5G Networks | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/d4de7b3d8c36695231b24157c1eb4722e8ffa47a/3-Figure1-1.png "PDF] A Practical Cross-Device Federated Learning Framework over 5G Networks | Semantic Scholar")
PDF] A Practical Cross-Device Federated Learning Framework over 5G Networks | Semantic Scholar
PDF) FairFed: Cross-Device Fair Federated Learning
Federated Learning and Privacy - ACM Queue
Safeguarding cross-silo federated learning with local differential privacy - ScienceDirect
Advances and Open Problems in Federated Learning
CROSS-SILO FEDERATED TRAINING IN THE CLOUD WITH DIVERSITY SCALING AND SEMI-SUPERVISED LEARNING Kishore Nandury, Anand Mohan, Fre
Cross-Device FL - FederatedScope
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank Reddi, Sebastian Stich, Ananda Theertha Suresh · Breaking the centralized barrier for cross-device federated learning · SlidesLive
The role of cross-silo federated learning in facilitating data sharing in the agri-food sector - ScienceDirect
A efficient and robust privacy-preserving framework for cross-device federated learning | SpringerLink
Federated Learning and Privacy | April 2022 | Communications of the ACM
Advances and Open Problems in Federated Learning
Convergence and accuracy trade-offs in federated learning and meta-learning
Electronics | Free Full-Text | Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives | Cybersecurity | Full Text
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning | DeepAI
