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Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm.

, , , and . CCNC, page 1-6. IEEE, (2022)

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On Progressive Network Recovery From Massive Failures Under Uncertainty., , , and . IEEE Trans. Netw. Serv. Manag., 16 (1): 113-126 (2019)On the Effectiveness of Standard Centrality Metrics for Interdependent Networks., , , and . ICNC, page 842-846. IEEE, (2019)Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-offs with Federated Reinforcement Learning., , , and . SMARTCOMP, page 40-47. IEEE, (2022)QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge., , , and . CCNC, page 319-325. IEEE, (2022)Edge Layer Design and Optimization for Smart Grids., , , , and . SmartGridComm, page 1-6. IEEE, (2020)Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems., and . CoRR, (2024)DHkmeans-ℓdiversity: distributed hierarchical K-means for satisfaction of the ℓ-diversity privacy model using Apache Spark., , , and . J. Supercomput., 78 (2): 2616-2650 (2022)Wrapper-Based Federated Feature Selection for IoT Environments., and . ICNC, page 214-219. IEEE, (2023)A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning., , , , , and . ICCCN, page 1-9. IEEE, (2021)On Fundamental Bounds on Failure Identifiability by Boolean Network Tomography., , , , , and . IEEE/ACM Trans. Netw., 28 (2): 588-601 (2020)