Jundong Chen

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach

Federated recommendation (FR) facilitates collaborative training by aggregating local models from massive devices, enabling client-specific personalization while ensuring privacy. However, we empirically and theoretically demonstrate that server-side aggregation can undermine client-side personaliza