Abstract is missing.
- Introduction to Federated LearningHeiko Ludwig, Nathalie Baracaldo. 1-23 [doi]
- Tree-Based Models for Federated Learning SystemsYuya Jeremy Ong, Nathalie Baracaldo, Yi Zhou. 27-52 [doi]
- Semantic Vectorization: Text- and Graph-Based ModelsShalisha Witherspoon, Dean Steuer, Nirmit Desai. 53-70 [doi]
- Personalization in Federated LearningMayank Agarwal, Mikhail Yurochkin, Yuekai Sun. 71-98 [doi]
- Personalized, Robust Federated Learning with Fed+Pengqian Yu, Achintya Kundu, Laura Wynter, Shiau Hong Lim. 99-123 [doi]
- Communication-Efficient Distributed Optimization AlgorithmsGauri Joshi, Shiqiang Wang 0001. 125-143 [doi]
- Communication-Efficient Model FusionMikhail Yurochkin, Yuekai Sun. 145-176 [doi]
- Federated Learning and FairnessAnnie Abay, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig. 177-191 [doi]
- Introduction to Federated Learning SystemsSyed Zawad, Feng Yan 0001, Ali Anwar 0001. 195-212 [doi]
- Local Training and Scalability of Federated Learning SystemsSyed Zawad, Feng Yan 0001, Ali Anwar 0001. 213-233 [doi]
- Straggler ManagementSyed Zawad, Feng Yan 0001, Ali Anwar 0001. 235-258 [doi]
- Systems Bias in Federated LearningSyed Zawad, Feng Yan 0001, Ali Anwar 0001. 259-278 [doi]
- Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose?Nathalie Baracaldo, Runhua Xu. 281-312 [doi]
- Private Parameter Aggregation for Federated LearningK. R. Jayaram, Ashish Verma. 313-336 [doi]
- Data Leakage in Federated LearningXiao Jin, Pin-Yu Chen, Tianyi Chen. 337-361 [doi]
- Security and Robustness in Federated LearningAmbrish Rawat, Giulio Zizzo, Muhammad Zaid Hameed, Luis Muñoz-González. 363-390 [doi]
- Dealing with Byzantine Threats to Neural NetworksYi Zhou 0015, Nathalie Baracaldo, Ali Anwar 0001, Kamala Varma. 391-414 [doi]
- Privacy-Preserving Vertical Federated LearningRunhua Xu, Nathalie Baracaldo, Yi Zhou 0015, Annie Abay, Ali Anwar 0001. 417-438 [doi]
- Split Learning: A Resource Efficient Model and Data Parallel Approach for Distributed Deep LearningPraneeth Vepakomma, Ramesh Raskar. 439-451 [doi]
- Federated Learning for Collaborative Financial Crimes DetectionToyotaro Suzumura, Yi Zhou 0015, Ryo Kawahara, Nathalie Baracaldo, Heiko Ludwig. 455-466 [doi]
- Federated Reinforcement Learning for Portfolio ManagementPengqian Yu, Laura Wynter, Shiau Hong Lim. 467-482 [doi]
- Application of Federated Learning in Medical ImagingEhsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee. 483-497 [doi]
- Advancing Healthcare Solutions with Federated LearningAmogh Kamat Tarcar. 499-508 [doi]
- A Privacy-preserving Product Recommender SystemTuan M. Hoang Trong, Mudhakar Srivatsa, Dinesh C. Verma. 509-522 [doi]
- Application of Federated Learning in Telecommunications and Edge ComputingUtpal Mangla. 523-534 [doi]