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Categorical computation
In quantum computing, the computation is achieved by linear operators in or between Hilbert spaces. In this work, we explore a new computation...
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Unconventional Computation and Natural Computation 21st International Conference, UCNC 2024, Pohang, South Korea, June 17–21, 2024, Proceedings
This book constitutes the proceedings of the 21st International Conference on Unconventional Computation and Natural Computation, UCNC 2024, held in...
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SWG: an architecture for sparse weight gradient computation
On-device training for deep neural networks (DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists...
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Unconventional Computation and Natural Computation 21st International Conference, UCNC 2024, Pohang, South Korea, June 17–21, 2024, Proceedings
This book constitutes the proceedings of the 21st International Conference on Unconventional Computation and Natural Computation, UCNC 2024, held in...
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Nonlinear feedforward enabling quantum computation
Measurement-based quantum computation with optical time-domain multiplexing is a promising method to realize a quantum computer from the viewpoint of...
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Machine learning-enabled globally guaranteed evolutionary computation
Evolutionary computation, for example, particle swarm optimization, has impressive achievements in solving complex problems in science and industry;...
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A novel quantum protocol for secure hamming distance computation
Secure hamming distance computation is an important primitive of secure multiparty computation, enabling two parties to jointly compute the hamming...
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Federated computation: a survey of concepts and challenges
Federated Computation is an emerging area that seeks to provide stronger privacy for user data, by performing large scale, distributed computations...
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Imperative Process Algebra and Models of Parallel Computation
Studies of issues related to computability and computational complexity involve the use of a model of computation. Central in such a model are...
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A survey on federated learning: a perspective from multi-party computation
Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their...
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Development of the Methods for Hydrometric Computation and Coordination of Streamflow
AbstractThe paper provides an overview of the methods for hydrometric streamflow computation in the regime and real-time variants developed at the...
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Computation Graph
A computation graph is a basic theoretical tool that underlines modern deep learning libraries. It is also an important component in Owl. This...
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Unconventional Computation and Natural Computation 20th International Conference, UCNC 2023, Jacksonville, FL, USA, March 13–17, 2023, Proceedings
This book constitutes the proceedings of the 20th International Conference on Unconventional Computation and Natural Computation, UCNC 2023, held...
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Multi-client distributed blind quantum computation with the Qline architecture
Universal blind quantum computing allows users with minimal quantum resources to delegate a quantum computation to a remote quantum server, while...
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SEVCOD: secure and efficient verifiable computation on outsourced data
Cloud computing has gained significant popularity, as a promising service platform in recent years. It facilitates the users to offload their...
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Chemical reservoir computation in a self-organizing reaction network
Chemical reaction networks, such as those found in metabolism and signalling pathways, enable cells to process information from their environment
1 ,2 ....
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Secure two-party computation via measurement-based quantum computing
Secure multiparty computation (SMC) provides collaboration among multiple parties, ensuring the confidentiality of their private information....
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Dynamical-corrected nonadiabatic geometric quantum computation
Recently, nonadiabatic geometric quantum computation has been received great attentions, due to its fast operation and intrinsic error resilience....
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Models of Computation
Register machines are introduced as a machine-based model of computation. We show that register machines compute exactly the class of general...
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Hypergraph Computation Paradigms
This chapter introduces three hypergraph computation paradigms, including intra-hypergraph computation, inter-hypergraph computation, and hypergraph...