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SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding

🗓️ 07 Jun 2025 00:00:00Reported by Ziyan Lyu, Peihua Mai, Minxin Du, Yan Pang, Youlong DingType 
packetstormnews
 packetstormnews
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SecEmb provides lossless secure federated recommender with sparse embeddings, protecting rated indices and cutting traffic up to 90x.

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