000			nam a22 7a 4500
999			_c29505 _d29505
008			190527b xxu||||| |||| 00| 0 eng d
020			_a9789811323119 _c(hbk)
082			_a004.36 _bVEM
100			_aVempaty, Aditya
245			_aSecure networked inference with unreliable data sources
260			_aSingapore : _bSpringer, _c2018.
300			_axiii,208 p. : _bill. ; _c24 cm.
365			_aEURO _b119.9 _d00
504			_aIncludes bibliographical references.
520			_aThe book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs robust strategies to ensure reliable performance for several practical network architectures. In particular, it addresses inference (or learning) processes such as detection, estimation or classification, and parallel, hierarchical, and fully decentralized (peer-to-peer) system architectures. Furthermore, it discusses a number of new directions and heuristics to tackle the problem of design complexity in these practical network architectures for inference.
650			_aComputer literacy
650			_a​Data processing
650			_aHardware
650			_aInformation technology
650			_aMachine theory
650			_aTelecommunications
650			_aData protection
650			_aComputer security
700			_aKailkhura, Bhavya _eaut
700			_aVarshney, Pramod K. _eaut
942			_2ddc _cBK