Flor: a federated learning-based music recommendation engine

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Efficient federated item similarity model for privacy-preserving recommendation

X Ding, G Li, L Yuan, L Zhang, Q Rong - Information Processing & …, 2023 - Elsevier
Previous federated recommender systems are based on traditional matrix factorization,
which can improve personalized service but are vulnerable to gradient inference attacks …
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Towards an efficient client selection system for federated learning

G Ding, Z Li, Y Wu, X Yang, M Aliasgari… - … Conference on Cloud …, 2022 - Springer
Federated learning is a popular distributed machine learning model where a centralized
server orchestrates many distributed clients to coordinate the completion of model training or …
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Neuron Pruning-Based Federated Learning for Communication-Efficient Distributed Training

J Guan, P Wang, S Yao, J Zhang - International Conference on Algorithms …, 2023 - Springer
Efficient and flexible cloud computing is widely used in distributed systems. However, in the
Internet of Things (IoT) environment with heterogeneous capabilities, the performance of …
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