FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems

Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor. FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. In Rajesh Gupta 0001, Yan Liu 0002, Jiliang Tang, B. Aditya Prakash, editors, KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. pages 1234-1242, ACM, 2020. [doi]

Abstract

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