Communication-Reducing Algorithm of Distributed Least Mean Square Algorithm with Neighbor-Partial Diffusion
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01374-1
Abstract: With the development of distributed algorithms, many researchers are committed to the goal of maintaining the long-term stability of the network by reducing the communication cost. However, many algorithms that lessen communication costs often result… read more here.
Keywords: partial diffusion; communication; neighbor partial; mean square ... See more keywords
Optimizing Teleportation Cost in Distributed Quantum Circuits
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-017-3618-x
Abstract: The presented work provides a procedure for optimizing the communication cost of a distributed quantum circuit (DQC) in terms of the number of qubit teleportations. Because of technology limitations which do not allow large quantum… read more here.
Keywords: quantum circuits; distributed quantum; number; cost distributed ... See more keywords
ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3003982
Abstract: There is a growing gap between data explosion speed and the improvement of graph processing systems on conventional architectures. The main reason lies in the large overhead of random access and data movement, as well… read more here.
Keywords: graph traversal; communication; graph; communication cost ... See more keywords
Adaptive Gradient Coding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3122873
Abstract: This paper focuses on mitigating the impact of stragglers in distributed learning system. Unlike the existing results designated for a fixed number of stragglers, we develop a new scheme called Adaptive Gradient Coding (AGC) with… read more here.
Keywords: adaptive gradient; number stragglers; communication cost; gradient coding ... See more keywords
Memory and Communication Efficient Federated Kernel k -Means.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3213777
Abstract: A federated kernel k -means (FedKKM) algorithm is developed in this article to conduct distributed clustering with low memory consumption on user devices. In FedKKM, a federated eigenvector approximation (FEA) algorithm is designed to iteratively… read more here.
Keywords: communication efficient; kernel means; communication; federated kernel ... See more keywords
Communication-efficient k-Means for Edge-based Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3144595
Abstract: We consider the problem of computing the k-means centers for a large high-dimensional dataset in the context of edge-based machine learning, where data sources offload machine learning computation to nearby edge servers. k-Means computation is… read more here.
Keywords: computation; communication; cost; machine learning ... See more keywords
A Utility-Based Distributed Pattern Mining Algorithm With Reduced Shuffle Overhead
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3221210
Abstract: With the arrival of the current digital era and the advancement of information transmission technologies, there has been an unprecedented rise in data. Efficient extraction of useful information from the volumes of data has garnered… read more here.
Keywords: utility based; pattern mining; utility; mining ... See more keywords