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https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf
Despite partially mitigating historical information forgetting, this strategy’s ef-ficacy in extracting local features declines when client data exhibits substantial heterogeneity.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/WENJUNJIANG2021TWeb.pdf
Algorithm 2 EMC-RS: The aspect-based EMC-review selection algorithm Input: Set of reviews and aspect set ; Eficiency function Ef; parameters , Output: A set of reviews ∗ ⊆ ∗ 1: ←− ∅ 2: while ( ∗) <| | do 3: Initialize two dictionaries and
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.pdf
Federaser: Enabling ef-ficient client-level data removal from federated learning models. In 2021 IEEE/ACM 29th International Sympo-sium on Quality of Service (IWQOS), pages 1–10, 2021.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
One solu-tion involves adjusting model parameters and adding Gaus-sian noise [Xie et al., 2021; Nguyen and et al., 2022], which can counteract backdoor attacks, but may reduce model ef-ficiency.
https://scholarshare.temple.edu/bitstreams/b1ecc345-7a7c-4776-a366-9b5585e714d6/download
London: J. Murray; 1859. Vaughan TG. IcyTree: rapid browser-based visualization for phylogenetic trees and networks. Bioinformatics. 2017;33:btx155. Kreft Ł, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 2017;33(18):2946 ...
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
In summary, we call the feature in (12) Aggregated Contextual Activation (ACA). Next, we will introduce some improvements of (12) concerning its retrieval accuracy and computational ef-ficiency. 1) Improving Accuracy: Similar to diffusion process, the proposed ACA requires an accurate estimation of the context in the data manifold.