Recent advances and future challenges in federated recommender systems
Recommender systems are an integral part of modern-day user experience. They
understand their preferences and support them in discovering meaningful content by …
understand their preferences and support them in discovering meaningful content by …
Focus: Fairness via agent-awareness for federated learning on heterogeneous data
Federated learning (FL) allows agents to jointly train a global model without sharing their
local data. However, due to the heterogeneous nature of local data, it is challenging to …
local data. However, due to the heterogeneous nature of local data, it is challenging to …