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Bone and joint infections (BJI) cause serious morbidity and pose significant management challenges. They may cause acute sepsis with bone and joint destruction, discharging wounds, chronic pain, and permanent disability. With increasing age and expanding populations, bone and joint infections, especially those involving devices, will have a growing impact on healthcare resources. Specifically, one typical type of BJI, periprosthetic joint infection, is even more difficult to manage. Although the incidence of PJI is not high, the diagnosis is difficult; the treatment is complicated, and the efficacy is uncertain. Patients usually need to undergo multiple operations with long-term antibiotic treatment.
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Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for dri...
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This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
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