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| Federated Learning Aggregation Strategies by Weight Exploration |
| Keywords | Federated Learning, Aggregation Strategies, Decentralized Learning + |
|---|---|
| Level | Master + |
| OneLineSummary | Investigation of aggregation strategies for federated learning + |
| References | Li, Tian, et al. "Federated learning: Chal … Li, Tian, et al. "Federated learning: Challenges, methods, and future directions." IEEE Signal Processing Magazine 37.3 (2020): 50-60. Kairouz, Peter, et al. "Advances and open problems in federated learning." Foundations and Trends® in Machine Learning 14.1–2 (2021): 1-210. Rieke, Nicola, et al. "The future of digital health with federated learning." NPJ digital medicine 3.1 (2020): 1-7. Li, Tian, et al. "Federated optimization in heterogeneous networks." Proceedings of Machine Learning and Systems 2 (2020): 429-450.ne Learning and Systems 2 (2020): 429-450. |
| StudentProjectStatus | Open + |
| Supervisors | Jens Lundström + , Amira Soliman + , Sadi Alawadi + |
| Title | Federated Learning Aggregation Strategies by Weight Exploration + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 3 October 2022 08:42:52 + |
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