Zobrazeno 1 - 10
of 359
pro vyhledávání: '"Chaoping Xing"'
Machine Learning models require a vast amount of data for accurate training. In reality, most data is scattered across different organizations and cannot be easily integrated under many legal and practical constraints. Federated Transfer Learning (FT
Externí odkaz:
http://arxiv.org/abs/1910.13271
Autor:
GURUSWAMI, VENKATESAN1, CHAOPING XING2
Publikováno v:
Journal of the ACM. Mar2022, Vol. 69 Issue 2, p1-48. 48p.
Autor:
Shu Liu, Chaoping Xing
Publikováno v:
IEEE Transactions on Information Theory. 69:2300-2310
Over the past years, the rapid growth of the Internet and World Wide Web has provided great opportunities for online commercial activities, business transactions and government services over open computer and communication networks. However, such dev
Autor:
Chaoping Xing, Chen Yuan
Publikováno v:
IEEE Transactions on Information Theory. 68:4320-4328
Publikováno v:
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) ISBN: 9781611977554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85059e0da51c8d72d15ac93ce5a91178
https://doi.org/10.1137/1.9781611977554.ch157
https://doi.org/10.1137/1.9781611977554.ch157
Publikováno v:
IEEE Transactions on Information Theory. 67:2808-2820
Insertion and deletion (insdel for short) errors are synchronization errors in communication systems caused by the loss of positional information in the message. Reed-Solomon codes have gained a lot of interest due to its encoding simplicity, well st
Autor:
Harald Niederreiter, Chaoping Xing
Ever since the seminal work of Goppa on algebraic-geometry codes, rational points on algebraic curves over finite fields have been an important research topic for algebraic geometers and coding theorists. The focus in this application of algebraic ge
Publikováno v:
IEEE Transactions on Information Theory. 66:6133-6143
Local Reconstruction Codes (LRCs) allow for recovery from a small number of erasures in a local manner based on just a few other codeword symbols. They have emerged as the codes of choice for large scale distributed storage systems due to the very ef
Publikováno v:
IEEE Intelligent Systems. 35:70-82
Machine learning relies on the availability of vast amounts of data for training. However, in reality, data are mostly scattered across different organizations and cannot be easily integrated due to many legal and practical constraints. To address th