Secure decentralized peer-to-peer training of deep neural networks based on distributed ledger technology

2020 ◽  
Vol 76 (12) ◽  
pp. 10354-10368 ◽  
Author(s):  
Amin Fadaeddini ◽  
Babak Majidi ◽  
Mohammad Eshghi
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Peer To Peer ◽  
Peer Training ◽  
Distributed Ledger ◽  
Distributed Ledger Technology

scholarly journals Block-chain Reaction: Why Development of Blockchain is at the Heart of the Legal Technology of Tomorrow

2019 ◽  
Vol 19 (01) ◽  
pp. 58-60
Author(s):  
Kimberley Rust
Keyword(s):  
Peer To Peer ◽  
Chain Reaction ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Block Chain ◽  
Legal Technology

Blockchain, arguably the most discussed and promising of FinTech trends, has incredible potential to transform legal technology. Infamous as the technology behind cryptocurrencies, distributed ledger technology (DLT) has developed far beyond these origins and may prove far more valuable than the currency it supports. As a form of DLT, blockchain allows for secure decentralisation of peer-to-peer, irreversible exchanges, providing a transparent and irrevocable record as these occur. The technology is already used across the legal industry and a plethora of opportunities to extend its application bubble beneath the surface, under development, waiting to break into the current market.

scholarly journals Consensus Algorithms Blockchain: A comparative study

2019 ◽  
Vol 5 (2) ◽  
pp. 66-71
Author(s):  
Siham Hattab ◽  
Imad Fakhri Taha Alyaseen
Keyword(s):  
Comparative Study ◽  
Peer To Peer ◽  
The State ◽  
Verification And Validation ◽  
Consensus Algorithm ◽  
Consensus Algorithms ◽  
The Public ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Encrypted Database

A blockchain is a Distributed Ledger Technology that has been defined as a “distributed, shared, encrypted database that serves as an irreversible and incorruptible repository of information. Blockchain can be defined as a peer-to-peer distributed ledger that is cryptographically secure, append-only, immutable and updatable only via consensus or agreement among peers. In blockchain platforms, each transaction in the public ledger is verified by consensus of the majority of the system participants in a transparent and secure way. The consensus algorithm refers to the process of attaining an unified agreement on the state of the network in a decentralized way and to facilitate the verification and validation of information being added to the blockchain. This paper aims at providing a comparison between most of the recent consensus algorithms regarding the scalability of the algorithm; the type of blockchain, node identity, the performance of the algorithm (in terms of throughput & latency) and Adversial Tolerance and to deliver a solid basis for discussions about current statistics. In this research, we also presented a new category of the Blockchain consensus algorithms, which consist of three groups as follows; the proof based on Hardware, the proof based on stake, and the proof based on voting.

scholarly journals A Decentralized, Secure, Peer-to-Peer Multi-Voting System on Ethereum Blockchain

2021 ◽  
Vol 9 (10) ◽  
pp. 1354-1359
Author(s):  
Ashmita Pandey
Keyword(s):  
Electoral System ◽  
Peer To Peer ◽  
Third Parties ◽  
Smart Contracts ◽  
Time Loss ◽  
Consensus Protocol ◽  
Distributed Ledger ◽  
Smart Contract ◽  
Distributed Ledger Technology ◽  
Voting System

Abstract: A decentralised, Secure, Peer-to-Peer Multi-Voting System on Ethereum Blockchain is a distributed ledger technology (DLT) that permits virtual votes to be transacted in a peer-to-peer decentralized network. Those transactions are validated and registered through every node of the network, so creating a transparent and immutable series of registered events whose truthfulness is supplied through a consensus protocol. Smart contract automates the execution of agreement that runs routinely as soon as the conditions are satisfied. Smart contract would not need any third parties consequently prevents time loss. By Eliminating the requirement for third parties, consequently, allows numerous processes to be extra efficient and economical. The system is secure, reliable, and anonymous. Smart contract is enforced for the Ethereum network using the Ethereum wallets and also the Solidity language. Users are capable of submit their votes immediately from their Ethereum wallets, and those transaction requests is handled with the consensus of each single Ethereum node. This creates a transparent environment for evoting. A lot of concerning efficiency of the peer-to-peer decentralized electoral system on Ethereum network along with application and the outcomes of implementation are provided in this paper. Keywords: Blockchain, Distributed Ledger Technology (DLT), Consensus Protocol, Smart Contracts, Ethereum, Solidity

scholarly journals Distributed Ledger Technology and the Future of Money and Banking

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fred Huibers
Keyword(s):  
Peer To Peer ◽  
Lessons Learned ◽  
Financial Industry ◽  
Monetary Reform ◽  
Monetary System ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
The Future ◽  
The Status ◽  
Substantial Investment

Abstract Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf outlined an alternative to the current monetary system in which banks are replaced by a peer-to-peer system to issue and transfer digital money: the Bitcoin. While Bitcoin has attracted a substantial investment volume, the system has not achieved the status of a viable alternative monetary system. However, the distributed ledger technology (DLT) underlying the payment system is being applied successfully by financial institutions and is likely to have important implications for the future of money and banking. In this paper we therefore focus on the most advanced distributed ledger application in the financial industry: R3 Corda. This paper is structured as follows. In the first section, we relate the debate about systems of money creation to the rise of Bitcoin. Next, the development of R3 Corda is discussed and the lessons learned for monetary reform. We conclude with an assessment of the scope and likelihood of monetary reform as a consequence of DLT applications by central banks.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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