GRADES: Gradient Descent for Similarity Caching-Reference-Cited by-同舟云学术

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GRADES: Gradient Descent for Similarity Caching

Published:2023-02 Issue:1 Volume:31 Page:30-41
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Sabnis Anirudh¹^ORCID,Si Salem Tareq²^ORCID,Neglia Giovanni²^ORCID,Garetto Michele³^ORCID,Leonardi Emilio⁴^ORCID,Sitaraman Ramesh K.¹^ORCID

Affiliation:

1. College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA

2. Inria, Université Côte d’Azur, Sophia Antipolis, France

3. Dipartimento di Informatica, Università degli Studi di Torino, Turin, Italy

4. Politecnico di Torino, Turin, Italy

Funder

National Science Foundation

Inria under the Exploratory Action MAMMALS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

https://ieeexplore.ieee.org/ielam/90/10045328/9828494-aam.pdf

Reference66 articles.

1. Scalable training and serving of personalized models;crankshaw;Proc NIPS Workshop Mach Learn Syst (LearningSys),2015

2. Meta-learning with memory-augmented neural networks;santoro;Proc Int Conf Mach Learn,2016

3. ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

4. Cachier: Edge-Caching for Recognition Applications

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