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A federated learning and blockchain framework for physiological signal classification based on continual learning.

, , , and . Inf. Sci., (June 2023)

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Averaged-A3C for Asynchronous Deep Reinforcement Learning., , , and . ICONIP (3), volume 11303 of Lecture Notes in Computer Science, page 277-288. Springer, (2018)GAN-Based Planning Model in Deep Reinforcement Learning., , , , and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 323-334. Springer, (2020)Evaluation of Spectrum Occupancy in Indoor and Outdoor Scenario in the Context of Cognitive Radio., , and . CrownCom, page 420-427. IEEE, (2007)The Dynamic Factors of Guangdong's Economic Growth from the Perspective of Supply-side Reform., and . BESC, page 1-4. IEEE, (2019)A Quality Model for Evaluating Encryption-as-a-Service., , and . SpaCCS Workshops, volume 10658 of Lecture Notes in Computer Science, page 557-569. Springer, (2017)Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison, , , , , , , , , and 4 other author(s). Glob Change Biol, 23 (1): 191--208 (Jan 1, 2017)Effective Inertial Hand Gesture Recognition Using Particle Filtering Based Trajectory Matching., , and . J. Electr. Comput. Eng., (2018)A Sub-1ppm/°C high-order curvature-compensated bandgap reference., , , and . APCCAS, page 1204-1207. IEEE, (2008)Performance Assessment Architecture for Grid., and . GridNets, volume 2 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 89-97. Springer, (2008)The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection, , , , , , and . (2017)cite arxiv:1712.01205Comment: 16 pages, 8 figures, 9 tables; ApJ in press.