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Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance., , , , , and . CoRR, (2021)Federated Split Learning with Only Positive Labels for resource-constrained IoT environment., , , , and . CoRR, (2023)Profiling Power Consumption for Deep Learning on Resource Limited Devices., , , and . SGAI Conf., volume 14381 of Lecture Notes in Computer Science, page 129-141. Springer, (2023)Enabling All In-Edge Deep Learning: A Literature Review., , , , and . IEEE Access, (2023)Facilitating Multi-agent Coalition Formation in Self-interested Environments., and . ICAART (Revised Selected Papers), volume 10162 of Lecture Notes in Computer Science, page 265-282. (2016)Wireless LAN Load-Balancing with Genetic Algorithms., and . SGAI Conf. (Applications), page 3-16. Springer, (2008)Wireless LAN load balancing with genetic algorithms., and . Knowl. Based Syst., 22 (7): 529-534 (2009)Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour., and . EUMAS, volume 8953 of Lecture Notes in Computer Science, page 144-158. Springer, (2014)Improving type information inferred by decompilers with supervised machine learning., , and . CoRR, (2021)Coalition calculation in a dynamic agent environment., , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)