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A Multi-player Game for Studying Federated Learning Incentive Schemes., , , , , и . IJCAI, стр. 5279-5281. ijcai.org, (2020)Demo.FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning., , , и . IJCAI, стр. 3541-3549. ijcai.org, (2023)Web-based Application Services Composition for e-Business., , и . ICEBE, стр. 599-602. IEEE Computer Society, (2005)FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning., , , и . CoRR, (2022)End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration., , и . ICA, стр. 99-102. IEEE, (2019)A Micro-wires Based Tactile Sensor for Prosthesis., , , , и . ICIRA (1), том 8102 из Lecture Notes in Computer Science, стр. 475-483. Springer, (2013)Simulation and experiment on temperature control of temperature box in centrifugal field., , , и . ICARCV, стр. 2046-2051. IEEE, (2004)Preliminary experimental study on the sensing performance of a capacitive tactile sensor array mounted on curved surfaces., , , , и . AIM, стр. 891-896. IEEE, (2015)FLAS: A Platform for Studying Attacks on Federated Learning., , , и . HCI (14), том 13315 из Lecture Notes in Computer Science, стр. 160-169. Springer, (2022)Fuzzy generalized predictive control of microvibration for a micro-manufacturing platform., , и . ACC, стр. 3690-3695. IEEE, (2003)