Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Kentaro Kita"'
Publikováno v:
IEEE Access, Vol 12, Pp 165265-165279 (2024)
Federated learning is a promising collaborative learning system from the perspective of training data privacy preservation; however, there is a risk of privacy leakage from individual local models of users. Secure aggregation protocols based on local
Externí odkaz:
https://doaj.org/article/42bf46fec4344a0489e4c31795bb6d1e
Publikováno v:
IEEE Access, Vol 11, Pp 51754-51766 (2023)
Privacy-preserving and Byzantine-resilient machine learning has been an important research issue, and many centralized methods have been developed. However, it is difficult for these methods to achieve fast learning and high accuracy simultaneously.
Externí odkaz:
https://doaj.org/article/1dcd1cf01c4640b7be7b9405e4a85901
Publikováno v:
IEEE Transactions on Network and Service Management. 18:2420-2436
Named Data Networking (NDN) is one of promising next generation Internet architectures that aim to realize efficient content distribution. However, in terms of producer anonymity, NDN has a serious problem that adversaries can easily learn who publis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846b97c2f7cfae0f74988626b26fe2c0
https://doi.org/10.1109/tnsm.2020.3019052
https://doi.org/10.1109/tnsm.2020.3019052
Publikováno v:
IEEE Transactions on Network and Service Management. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc9293b0cf139b0082f712b6c4783083
https://doi.org/10.1109/tnsm.2023.3275250
https://doi.org/10.1109/tnsm.2023.3275250
Publikováno v:
LANMAN
Federated learning is a privacy-preserving learning system where participants locally update a shared model with their own training data. Despite the advantage that training data are not sent to a server, there is still a risk that a state-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085728081b2baee099b1e6279eda0e16
https://doi.org/10.1109/lanman52105.2021.9478813
https://doi.org/10.1109/lanman52105.2021.9478813
Publikováno v:
Computer Networks. 209:108908
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7dcd9f27d4c7e5efb054fc5c56c70e3
https://doi.org/10.1016/j.comnet.2022.108908
https://doi.org/10.1016/j.comnet.2022.108908
Publikováno v:
ICNP
Verifying remote computing environments, such as computing nodes in fog and edge computing, has gained considerable attention. This poster extends an existing remote attestation method so that it can verify that obtained results are generated by trus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c97ba6eea687d834c2c7ad8ecce61fd
https://doi.org/10.1109/icnp.2019.8888063
https://doi.org/10.1109/icnp.2019.8888063
Autor:
Onur Ascigil, Sergi Reñé, Krol, Michal, George Pavlou, Lixia Zhang, Toru Hasegawa, Yuki Koizumi, Kentaro Kita, ACM Information Centric Networks
Publikováno v:
ICN
In the current Internet, content delivery, e.g., video-on-demand (VoD), at scale is associated with a large distributed infrastructure which requires considerable investment. Content Providers (CPs) typically resort to third-party Content Distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811ab78e05dbe8e3f5c04501efbb4031
https://hdl.handle.net/2078.1/220535
https://hdl.handle.net/2078.1/220535
Publikováno v:
ICN
Location-based services, which provide services based on locations of consumers' interests, are becoming essential for our daily lives. Since the location of a consumer's interest contains private information, several studies propose location privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e951dae0a2f0e2d9b3b30848190fba35
https://doi.org/10.1145/3267955.3267958
https://doi.org/10.1145/3267955.3267958
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1729 (2024)
Nanosatellites are proliferating as low-cost, dedicated remote sensing opportunities for small nations. However, nanosatellites’ performance as remote sensing platforms is impaired by low downlink speeds, which typically range from 1200 to 9600 bps
Externí odkaz:
https://doaj.org/article/ff4231ba7fd2456a95c8a0d80dcb7690