ARPA Monthly Report | February Progress Review

Dear ARPA community,

To make sure that fellows of ARPA community are well informed of the latest developments of the team, we will update the project dynamics and progress in ARPA community in our monthly report. Thank you all for your support!

01 ARPA Development Dynamics & Technology Progress

Mainnet

  • Implemented, optimized and tested the mainnet background withdrawal function
  • Designed and implement the database structure, error handling mechanism and withdrawal record management mechanism related to withdrawal
  • Mainnet explorer back-end function implementation, database structure upgrade, optimization and testing
  • Implementation of mainnet explorer, optimized front-end and back-end interaction
  • Implementation and test of mainnet withdrawal function, including integration test and stress-test
  • Explored and designed related mainnet functions
  • Optimized the experience of the income withdrawal feature on Mainnet nodes.
  • Developed and deployed the node release feature of mainnet.
  • Started to optimize and reconstruct backend code, aiming to support different cloud providers and implement one-key deployment, and provide infrastructure for public and private MPC networks.
  • Maintained and upgraded certain backend features, improved the scalability, and enabled the alert feature.

MPC

  • Developed and test the safe linear regression function based on MPC
  • Development of convolutional layer and gradient descent function based on MPC
  • Design of Distributed Account Control Mechanism Based on Threshold Signature
  • Preliminary research on international standards for secure multi-party computation
  • Participated in the first plenary session and the first technical seminar of the MPC Alliance and presented on data sharing and showcase ARPA solutions
  • Developed and improved MPC Explorer.
  • Developed and provided the backend API for MPC Explorer.
  • Organized MPC instructions.

Secure Machine Learning

  • Tested the secure neural network based on the Scale and ABY protocols.
  • Implemented the polynomial function for activating the secure neural network.
  • Reconstructed and implemented the secure linear regression.
  • Conducted pre-research on the architecture of the trusted hardware environment.

02 Community, Marketing & Listings

Token Burn

“Why ARPA”Essay Contest

On February 18, ARPA organized “Why ARPA” Essay Contest in Chinese, English, and Korean communities. Participants can win awards by sharing their “reasons for selecting ARPA” or “stories with ARPA.

ABOUT ARPA

ARPA is committed to providing secure data transfer solutions based on cryptographic operations for businesses and individuals.

ARPA is a privacy-preserving blockchain infrastructure enabled by MPC. Learn more at arpachain.io

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