Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training

arXiv:2401.03748v2 Announce Type: replace-cross
Abstract: Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns. However, one of the major challenges in these systems lies in the communication costs that arise from the need to transmit neural network models between user devices and a central server. Prior approaches to these challenges often lead to issues such as computational overheads, model specificity constraints, and compatibility issues with secure aggregation protocols. In response, …

arxiv communication cs.cr cs.dc cs.ir cs.lg federated low system training