Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ikki Kishida"'
Publikováno v:
IEEE Access, Vol 12, Pp 22803-22812 (2024)
We present a conceptually novel framework for Federated Learning (FL) called FedFit for a flexible solver to address FL problems. The FedFit framework consists of two components: model compression to upload a local model from a client to the server a
Externí odkaz:
https://doaj.org/article/e3e948b52f824b429cfe89fa28c8f3a8
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523e1cc4ecf85d8aa9d00ffc72aec2c3
https://doi.org/10.1109/icip42928.2021.9506163
https://doi.org/10.1109/icip42928.2021.9506163
Publikováno v:
WACV
Object recognition ability is indispensable for robots to act like humans in a home environment. For example, when considering an object searching task, humans can recognize a naturally arranged object previously held in their hands while ignoring ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de414af584db3132d2fe91271c033e2d
https://doi.org/10.1109/wacv48630.2021.00156
https://doi.org/10.1109/wacv48630.2021.00156
Autor:
Ikki Kishida, Hideki Nakayama
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
Deep Neural Networks (DNNs) generalize well despite their massive size and capability of memorizing all examples. There is a hypothesis that DNNs start learning from simple patterns and the hypothesis is based on the existence of examples that are co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367fd728bf6e426d79280c35db8a16f0
https://doi.org/10.1007/978-3-030-36808-1_20
https://doi.org/10.1007/978-3-030-36808-1_20
