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Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation.

, , and . CIKM, page 4289-4293. ACM, (2022)

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Truncated Non-Uniform Quantization for Distributed SGD., , , , and . CoRR, (2024)Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation., , and . CIKM, page 4289-4293. ACM, (2022)Improving Long-Tail Item Recommendation with Graph Augmentation., , , and . CIKM, page 1707-1716. ACM, (2023)Knowledge-Guided Auto-Encoder for Unsupervised Angle-of-Arrival Estimation., , , and . WCNC, page 1-6. IEEE, (2024)Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration., , , , and . IEEE J. Sel. Top. Signal Process., 18 (3): 487-501 (April 2024)Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning., , , , and . CoRR, (2024)Incentive Design in Peer Review: Rating and Repeated Endogenous Matching., , and . IEEE Trans. Netw. Sci. Eng., 6 (4): 898-908 (2019)Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing., , and . SmartGridComm, page 1-6. IEEE, (2019)Adaptive Top- K in SGD for Communication-Efficient Distributed Learning., , , , and . GLOBECOM, page 5280-5285. IEEE, (2023)Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation., , , , and . CoRR, (2022)