Dear ARPA community,
To ensure that the ARPA community is well-informed on the team’s latest improvement, we update ARPA’s development dynamics and progress through our monthly report. Thank you all for your support!
This is a look back at May. Enjoy!
01 ARPA Development Dynamics & Technology Progress
- Evaluated the viability of random number generation using BLS based TSS
- Studied how Dfinity and Keep network generate randomness for their consensus algorithms
- Tested existing ECDSA based TSS implementations
- Designed the architecture of ECDSA-TSS based verifiable random number generation network
- Ran benchmark for ECDSA-TSS v.s. VRF, compared and analyzed the gas cost
- Evaluated tech stack for implementing random number generation network
- Evaluated the performance of BLS (n,n) — aggregate verification and ECDSA batch verification
- Designed the (m.n) — multisig scheme base on BLS
- Developed the function of (m.n) — public key aggregation and membership key generation for BLS
- Designed the architecture of randomness generation network based on BLS
02 Community, Marketing & Listings
ARPA’s Privacy-Preserving Computation Technology Covered by Bitnews Today
On May 21st, Bitnews Today published an article introducing ARPA’s MPC and privacy-preserving computation technology.
ARPA solves this dilemma and gives users both privacy and convenience. By implementing secure computation, ARPA makes sure that even though users’ data is kept private, they can still enjoy the convenience of data sharing.
ARPA Co-founder & CGO Yemu AMA with Vibrant Telegram Communities Crypto Family and Crypto VIP signal
On May 22nd and May 9th, ARPA co-founder & CGO Yemu had AMA with vibrant Telegram communities: Crypto Family and Crypto VIP signal. During the AMA, he talked about the update of ARPA’s roadmap, and what’s our next main focus.
ARPA Turkish Community Member Donated 20 Trees in the Name of ARPA Team
On May 19th, one of the ARPA Turkish community members donated 20 trees in the name of the ARPA Team. Giving back to society and protecting the environment is always where ARPA’s enthusiasm lies, we deeply appreciate the kindness our community member shows. As Ethereum completing the transition to Proof-of-Stake and reduce energy consumption, don’t forget to plant some non-fungible & non-virtual trees as well.
ARPA Started Proof-of-Tweet Raffle Event
On May 18th, ARPA started a $300 $ARPA prize pool proof-of-tweet Raffle event on Twitter and Gleam.io. The event is now ended, rewards will be distributed soon, thanks to everyone for participating!
Learn more about the event:
ARPA Confirms IEEE Shared Machine Learning Standard Enters to SA Ballot Process
On May 6th, ARPA announced that the IEEE P2830 standard, targeting shared machine learning, has progressed to the ballot stage of the IEEE Standard Association (SA) Standard Development Process. The standard defines the technique framework and details of trusted execution environment-based shared machine learning, a branch of privacy-preserving computation.
Alibaba initiated the submission, which was drafted in cooperation with representatives from ARPA, Baidu, Lenovo Group, Shanghai Fudata, Zhejiang University, Megvii Technology, and the China Electronic Standardization Institute.
By participating in the IEEE standard development, ARPA can work with global companies and academies to provide architectural and practical advice to related practitioners. This is also a great opportunity that converts ARPA’s best industrial practice into a publicly documented description.
ARPA is a blockchain-based solution for privacy-preserving computation, enabled by Multi-Party Computation (“MPC”). Founded in April 2018, the goal of ARPA is to separate data utility from ownership and enable data renting. ARPA’s MPC protocol creates ways for multiple entities to collaboratively analyze data and extract data synergies while keeping each party’s data input private and secure. ARPA allows secret sharing of private data, and the correctness of computation is verifiable using information-theoretic Message Authentication Code (MAC).
Developers can build privacy-preserving dApps on blockchains compatible with ARPA. Some immediate use cases include: credit anti-fraud, secure data wallet, precision marketing, joint AI model training, key management systems, etc. For example, banks using the ARPA network can share their credit blacklist for risk management purposes without exposing their customer data or privacy.
Team members have worked at leading institutions such as Google, Amazon, Huawei, Fosun, Tsinghua University, Fidelity Investments. ARPA is currently assisting the China Academy of Information and Communications Technology in setting the national standard for secure multi-party computation. ARPA is a corporate member of MPC Alliance and IEEE and is in partnership with fortune 500 companies to implement proofs-of-concept and MPC products. In 2019, ARPA was named the Top 10 most innovative blockchain companies in China by China Enterprise News and China Software Industry Association.
For more information about ARPA or to join our team, please contact us at firstname.lastname@example.org.
Learn about ARPA’s recent official news：
Telegram (English): https://t.me/arpa_community
Telegram (Việt Nam): https://t.me/ARPAVietnam
Telegram (Russian): https://t.me/arpa_community_ru
Telegram (Indonesian): https://t.me/Arpa_Indonesia
Telegram (Turkish): https://t.me/Arpa_Turkey