ALS Algorithm for Robust and Communication-Efficient Federated Learning
Abstract
References
Index Terms
- ALS Algorithm for Robust and Communication-Efficient Federated Learning
Recommendations
Towards fair and personalized federated recommendation
AbstractRecommender systems have gained immense popularity in recent years for predicting users’ interests by learning embeddings. The majority of existing recommendation approaches, represented by graph neural network-based recommendation algorithms, ...
Highlights- We design a novel federated recommendation framework, which takes fairness and personalization of recommendation into consideration simultaneously.
- In the proposed framework, user local model, cluster-level model, and global model are ...
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPersonalized federated learning collaboratively trains client-specific models, which holds potential for various mobile and IoT applications with heterogeneous data. However, existing solutions are vulnerable to distribution shifts between training and ...
Efficient and Robust Regularized Federated Recommendation
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementRecommender systems play a pivotal role across practical scenarios, showcasing remarkable capabilities in user preference modeling. However, the centralized learning paradigm predominantly used raises serious privacy concerns. The federated recommender ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
Conference
Acceptance Rates
Upcoming Conference
- Sponsor:
- sigops
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 62Total Downloads
- Downloads (Last 12 months)62
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in