Distributed, Parallel, and Cluster Computing · Computer Science
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
2022-05-31
Machine Learning · Computer Science
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik +2
2021-06-21
Machine Learning · Computer Science
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong +1
2024-03-05
Computers and Society · Computer Science
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies
Joaquin Delgado Fernandez, Martin Brennecke, Tom Barbereau, Alexander Rieger +1
2023-09-07
Machine Learning · Computer Science
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu +2
2025-03-11
Distributed, Parallel, and Cluster Computing · Computer Science
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
Ruben Mayer, Hans-Arno Jacobsen
2019-09-26
Machine Learning · Computer Science
ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar, Yutong Xie +4
2026-05-05
Machine Learning · Computer Science
TiFL: A Tier-based Federated Learning System
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex +6
2020-01-28
Machine Learning · Computer Science
Federated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith
2020-06-24
Machine Learning · Computer Science
A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg +2
2022-11-28
Distributed, Parallel, and Cluster Computing · Computer Science
Federated Edge Learning : Design Issues and Challenges
Afaf Taïk, Soumaya Cherkaoui
2022-01-28
Machine Learning · Computer Science
Towards Adversarially Robust Continual Learning
Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao +1
2023-04-03
Machine Learning · Computer Science
Fairness in Federated Learning: Trends, Challenges, and Opportunities
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng
2025-09-03
Machine Learning · Computer Science
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour, Su Wang, Nicolo Michelusi, Vaneet Aggarwal +3
2023-06-16
Machine Learning · Computer Science
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
2023-12-12
Machine Learning · Computer Science
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu, Xin Xu, Peng Qiao, Dongsheng Li
2024-11-11
Machine Learning · Computer Science
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding, Eric Tramel, Anit Kumar Sahu, Shuang Wu +2
2022-02-03
Networking and Internet Architecture · Computer Science
Surviving the Edge: Federated Learning under Networking and Resource Constraints
Mike Mwanje, Okemawo Obadofin, Theophilus Benson, Joao Barros
2026-05-06
Networking and Internet Architecture · Computer Science
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis, Adlen Ksentini
2023-09-19
Networking and Internet Architecture · Computer Science
Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks
Utku Demir, Tugba Erpek, Yalin E. Sagduyu, Sastry Kompella +1
2025-10-20
Machine Learning · Computer Science
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang, Jun Li, Long Shi, Ming Ding +4
2023-09-21