In this paper, we propose FedLTN, a novel approach motivated by the well-known Lottery Ticket Hypothesis to learn sparse and personalized lottery ticket networks (LTNs) for communication-efficient and personalized FL under non-identically and independently distributed (non-IID) data settings. ...
private_personalized_pagerank private_sampling private_text_transformers procedure_cloning property_linking protein_lm protenn protnlm protoattend protseq proxy_rewards pruning_identified_exemplars pse psyborgs psycholab ptopk_patch_selection pvn pwil q_match qanet qsp_quantum_metrology qua...
Deep learning personalized recommendation-based construction method of hybrid blockchain model This study aims to explore the construction of a personalized recommendation system (PRS) based on deep learning under the hybrid blockchain model to furth... X Yu,W Li,X Zhou,... - 《Scientific Reports...
Yu Y, Zhang L, Wang C, Gao R, Zhao W Jiang J (2019) Neural personalized ranking via Poisson factor model for item recommendation. Complexity Zhang S, Yao L, Sun A, Tay Y (2019) Deep learning based recommender system: a survey and new perspectives. ACM Comput Surv 52(1):5:1–5:...
Aiming at solving the performance degradation of federated learning (FL) under heterogeneous data distribution, personalized FL (PFL) was proposed. It is designed to produce a dedicated model for each client. However, the existing PFL solution only focuses on the performance of personalized...
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities. IEEE Access 2018, 6, 32258–32285. [Google Scholar] [CrossRef] Kirk, D.B.; Hwu, W.M.W. Programming Massively Parallel Processors: A Hands-on Approach, 1st ed.; Morgan Kaufmann ...