Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Wong, Tan F."'
Federated learning (FL) allows multiple parties (distributed devices) to train a machine learning model without sharing raw data. How to effectively and efficiently utilize the resources on devices and the central server is a highly interesting yet c
Externí odkaz:
http://arxiv.org/abs/2402.15903
Autor:
Wang, Xiaoshan, Wong, Tan F.
This paper presents a privacy-preserving event detection scheme based on measurements made by a network of sensors. A diameter-like decision statistic made up of the marginal types of the measurements observed by the sensors is employed. The proposed
Externí odkaz:
http://arxiv.org/abs/2312.00933
We consider a channel separation approach to counter the pilot attack in a massive MIMO system, where malicious users (MUs) perform pilot spoofing and jamming attack (PSJA) in uplink by sending symbols to the basestation (BS) during the channel estim
Externí odkaz:
http://arxiv.org/abs/1902.03909
Autor:
Graves, Eric, Wong, Tan F.
This work constructs a discrete random variable that, when conditioned upon, ensures information stability of quasi-images. Using this construction, a new methodology is derived to obtain information theoretic necessary conditions directly from opera
Externí odkaz:
http://arxiv.org/abs/1806.05589
Autor:
Graves, Eric, Wong, Tan F.
This paper employs equal-image-size source partitioning techniques to derive the capacities of the general discrete memoryless wiretap channel (DM-WTC) under four different secrecy criteria. These criteria respectively specify requirements on the exp
Externí odkaz:
http://arxiv.org/abs/1701.07347
Publikováno v:
IEEE Transactions on Information Forensics and Security, vol. 11, no. 12, pp. 2717 - 2731, Dec. 2016
We consider an amplify-and-forward relay network composed of a source, two relays, and a destination. In this network, the two relays are untrusted in the sense that they may perform Byzantine attacks by forwarding altered symbols to the destination.
Externí odkaz:
http://arxiv.org/abs/1607.05332
Autor:
Graves, Eric, Wong, Tan F.
This paper introduces equal-image-size source partitioning, a new tool for analyzing channel and joint source-channel coding in a multi-terminal discrete memoryless channel environment. Equal-image-size source partitioning divides the source (combina
Externí odkaz:
http://arxiv.org/abs/1512.00824
Autor:
Graves, Eric, Wong, Tan F.
In this paper we investigate the image size characterization problem. We show that any arbitrary source set may be decomposed into sets whose image size characterization is the same as its entropy characterization. We also show that the number of the
Externí odkaz:
http://arxiv.org/abs/1404.6585
A coding scheme based on irregular low-density parity-check (LDPC) codes is proposed to send secret messages from a source over the Gaussian wiretap channel to a destination in the presence of a wiretapper, with the restriction that the source can se
Externí odkaz:
http://arxiv.org/abs/1103.3915
The problem of secret sharing over the Gaussian wiretap channel is considered. A source and a destination intend to share secret information over a Gaussian channel in the presence of a wiretapper who observes the transmission through another Gaussia
Externí odkaz:
http://arxiv.org/abs/1009.3041