Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amit Portnoy"'
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8847 (2022)
Federated learning (FL) is a distributed machine learning paradigm where data are distributed among clients who collaboratively train a model in a computation process coordinated by a central server. By assigning a weight to each client based on the
Externí odkaz:
https://doaj.org/article/e5e8839bb3164558a90ec70d0080f9cb
BERT based ranking models have achieved superior performance on various information retrieval tasks. However, the large number of parameters and complex self-attention operation come at a significant latency overhead. To remedy this, recent works pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bca36f11ab1a8b8b4bac8620b087c3f
Publikováno v:
Applied Sciences; Volume 12; Issue 17; Pages: 8847
Federated learning (FL) is a distributed machine learning paradigm where data are distributed among clients who collaboratively train a model in a computation process coordinated by a central server. By assigning a weight to each client based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c45eea863ea8a50d5af0991d4ae320b
http://arxiv.org/abs/2004.04986
http://arxiv.org/abs/2004.04986
Autor:
Amit Portnoy, Roy Friedman
Publikováno v:
Software: Practice and Experience. 45:435-454
This paper describes TRUSTPACK, a decentralized trust management framework that provides trust management as a generic service. TRUSTPACK is unique in that it does not provide a central service. Instead, it is run by many autonomous services. This de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a4729d0ef2a3082fe26e0d69c670c96
https://doi.org/10.1002/spe.2226
https://doi.org/10.1002/spe.2226