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Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks., , , и . ICPADS, стр. 101-108. IEEE, (2019)FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning., , , , и . WASA (2), том 13472 из Lecture Notes in Computer Science, стр. 80-92. Springer, (2022)FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation., , , , и . ICPADS, стр. 98-105. IEEE, (2022)Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks., , , , и . ICA3PP (5), том 14491 из Lecture Notes in Computer Science, стр. 21-38. Springer, (2023)Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling., , , и . IEEE Internet Things J., 11 (17): 29157-29173 (сентября 2024)An efficient split learning framework for recurrent neural network in mobile edge environment., , , , и . RACS, стр. 131-138. ACM, (2022)Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach., , , и . ICPADS, стр. 256-265. IEEE, (2020)Communication-efficient Federated Learning via Quantized Clipped SGD., , и . WASA (1), том 12937 из Lecture Notes in Computer Science, стр. 559-571. Springer, (2021)Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge., , и . GLOBECOM, стр. 4517-4522. IEEE, (2022)Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding., , , , , и . GLOBECOM, стр. 534-540. IEEE, (2022)