Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anirudh Kasturi"'
Autor:
Anirudh Kasturi, Chittaranjan Hota
Publikováno v:
The Journal of Supercomputing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::851d4c1bf3716803978e708a27691e01
https://doi.org/10.1007/s11227-023-05182-7
https://doi.org/10.1007/s11227-023-05182-7
Publikováno v:
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b47819ae94289caaf21350334c838cd
https://doi.org/10.1109/imcom56909.2023.10035595
https://doi.org/10.1109/imcom56909.2023.10035595
Autor:
Manisha Malani, Anirudh Kasturi, Md. Moinul, Shovanlal Gayen, Chittaranjan Hota, Jayabalan Nirmal
Publikováno v:
Biomedical Applications and Toxicity of Nanomaterials ISBN: 9789811978333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fdd684ad19d40ef962c3278e84982a7
https://doi.org/10.1007/978-981-19-7834-0_22
https://doi.org/10.1007/978-981-19-7834-0_22
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811900181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3275d11bf51b14d3654d0ae17038c8b4
https://doi.org/10.1007/978-981-19-0019-8_39
https://doi.org/10.1007/978-981-19-0019-8_39
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811900181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbd2239e0d47af202ccce654fd38f539
https://doi.org/10.1007/978-981-19-0019-8_38
https://doi.org/10.1007/978-981-19-0019-8_38
Publikováno v:
COMAD/CODS
Deep Learning is one of the most widely used techniques used to build inference models on large amounts of data. The exponential rise in edge and mobile devices has contributed to data generation on an enormous scale. Transferring this data to a cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e38cf3536ff37a1b46dc0e14f804acc
https://doi.org/10.1145/3430984.3431055
https://doi.org/10.1145/3430984.3431055
Publikováno v:
Proceedings of the 4th International Workshop on Embedded and Mobile Deep Learning.
Federated and fusion learning methods are state-of-the-art distributed learning approaches which enable model training without collecting private data from users. While federated learning involves lower computation cost as compared to fusion learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faddc54d22b5d5a999312fc534714368
https://doi.org/10.1145/3410338.3412339
https://doi.org/10.1145/3410338.3412339
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504199
ICCS (3)
ICCS (3)
Federated Learning is an emerging distributed machine learning technique which does not require the transmission of data to a central server to build a global model. Instead, individual devices build their own models, and the model parameters are tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::697ea7c19f66c42b747fd3c592c2d9b5
https://doi.org/10.1007/978-3-030-50420-5_31
https://doi.org/10.1007/978-3-030-50420-5_31