Zobrazeno 1 - 10
of 109
pro vyhledávání: '"DHAKAL, Sagar"'
Autor:
Prakash, Saurav, Dhakal, Sagar, Akdeniz, Mustafa, Yona, Yair, Talwar, Shilpa, Avestimehr, Salman, Himayat, Nageen
Federated learning enables training a global model from data located at the client nodes, without data sharing and moving client data to a centralized server. Performance of federated learning in a multi-access edge computing (MEC) network suffers fr
Externí odkaz:
http://arxiv.org/abs/2011.06223
Federated Learning (FL) is an exciting new paradigm that enables training a global model from data generated locally at the client nodes, without moving client data to a centralized server. Performance of FL in a multi-access edge computing (MEC) net
Externí odkaz:
http://arxiv.org/abs/2007.03273
Federated learning is a method of training a global model from decentralized data distributed across client devices. Here, model parameters are computed locally by each client device and exchanged with a central server, which aggregates the local mod
Externí odkaz:
http://arxiv.org/abs/2002.09574
Publikováno v:
In Energy Strategy Reviews July 2021 36
Publikováno v:
Turkish Journal of Chemistry. 2022, Vol. 46 Issue 6, p1776-1801. 26p.
Autor:
Dhakal, Sagar, Timilsina, Ashesh B., Dhakal, Rabin, Fuyal, Dinesh, Bajracharya, Tri R., Pandit, Hari P., Amatya, Nagendra, Nakarmi, Amrit M.
Publikováno v:
In Renewable and Sustainable Energy Reviews August 2015 48:662-669
Publikováno v:
In Journal of Food Engineering February 2014 123:94-103
Publikováno v:
In Journal of Food Engineering March 2012 109(2):267-273
Publikováno v:
In Journal of Food Engineering March 2012 109(1):127-134
Autor:
Cui, Yuanhao, Xu, Jie, Riihonen, Taneli, Shankar, Bhavani, Dhakal, Sagar, Li, Yonghui, Dobre, Octavia A.
Publikováno v:
IEEE Internet of Things Magazine; 2024, Vol. 7 Issue: 4 p10-12, 3p