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Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks., , , and . GLOBECOM, page 1-7. IEEE, (2016)Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering., , , , , and . CoRR, (2022)Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems., , , , , , , , , and 1 other author(s). CoRR, (2024)FedScale: Benchmarking Model and System Performance of Federated Learning., , , and . CoRR, (2021)Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning., , , and . CoRR, (2021)ModelKeeper: Accelerating DNN Training via Automated Training Warmup., , , and . NSDI, page 769-785. USENIX Association, (2023)Genetic Programming-Enabled Prediction for Students Academic Performance in Blended Learning., , , and . ICETC, page 297-303. ACM, (2023)Analysis of Performances for Three Massive MIMO Channel Models., , , , and . WCSP, page 1-6. IEEE, (2018)Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs., , , and . CoRR, (2022)A Novel 3D Non-Stationary Massive MIMO Channel Model for Shortwave Communication Systems., , , , , and . IEEE Trans. Commun., 71 (9): 5473-5486 (September 2023)