ARPA Monthly Update | January 2020

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!

This is January in rearview. Enjoy!

01 ARPA Development Dynamics & Technology Progress

  1. Added retry after lambda failure

2. Added record backup of MPC calculation tasks

3. Added backup of reward records

4. Provided front-end API to retrieve tasks and reward information for each node

5. Optimized the parameters of the node selection algorithm curve

6. Optimized the node selection algorithm to improve the efficiency of node selection

7. Mainnet computing task performance calculation load balancing

8. Added Mainnet reward mechanism description

9. Mainnet interactive experience optimization

10. Updated earnings panel

11. Implementation of wallet address verification process

12. Designed and implement the revenue module

13. Designed MPC Task Browser

02 Community, Marketing & Listings

The pre-alpha version of ARPA mainnet was officially launched on January 6, 2020 at 00:00 Hong Kong time.

Mainnet URL:

See more details:

On the same day of the mainnet launch, the ARPA team conducted AMA (Ask-me-anything) in Binance’s Telegram English main group, with a community size of 100,000.

Felix Xu and CGO Yemu Xu, co-founders and CEO of ARPA, answered questions about mainnet launch, trading competitions, business cooperation, etc.. They also summarized progress in 2019 and shared plans for 2020.

More details:

ARPA has been accepted as an IEEE(Institute of Electrical and Electronics Engineers) Corporate Member. Other corporate members include: Apple, AT&T, ARM, Ant Financial, Dell, Accenture, China Mobile, China Telecom, Cisco, AMD, Alibaba Group, and other conglomerates and world’s leading companies.

As a corporate member, ARPA was invited by IEEE (Institute of Electrical and Electronics Engineers) to participate in the development of the IEEE Standard for Technical Framework and Requirements of Shared Machine Learning (IEEE P2830).

See more details:

From January 7 to 10, 2020, ARPA was invited to participate in the international Consumer Electronics Show (CES) in Las Vegas, USA.

Founded in 1967, the International Consumer Electronics Show (CES) has grown into one of the largest, highest-level and most influential consumer electronics exhibitions in the world. CES gathers the world’s best consumer electronics manufacturers and IT core manufacturers. Each January, it showcases the world’s most advanced technology concepts and products in Las Vegas, USA.

ARPA co-founder & CGO Yemu Xu had a fireside talk with the leading technology media, TMTPost, at the Talk to China Innovation Conference.

China’s largest technology community, CSDN, published ARPA’s article on enterprise key management on its website. ARPA’s KMS module already supports the ED25519 parameter set of the elliptic curve digital signature protocol, which will be compatible with a wider range of digital signature algorithms in the future.

In this article, Dr. Su, ARPA cryptographer, starts from the technical principles and explores the relationship among cryptography, blockchain, secure multiparty computing and threshold signatures. The advantages and disadvantages of different signature paradigms are discussed, and the application scenarios of threshold signatures are listed so that readers can quickly understand threshold signatures.

10,000,000 ARPA tokens were burnt on January 28th, which was valued at $90,000 at the time of burn. The destructed tokens have been transferred to the destructed wallet address at 0x168115cf806009f8984f47c90033e9a9705b4f65

About ARPA

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

The ARPA secure multi-party computing network can be used as a protocol layer to implement privacy computing capabilities for public chains, and it enables developers to build efficient, secure, and data-protected business applications on private smart contracts. Enterprise and personal data can, therefore, be analyzed securely on the ARPA computing network without fear of exposing the data to any third party.

ARPA’s multi-party computing technology supports secure data markets, precision marketing, credit score calculations, and even the safe realization of personal data.

ARPA’s core team is international, with PhDs in cryptography from Tsinghua University, experienced systems engineers from Google, Uber, Amazon, Huawei and Mitsubishi, blockchain experts from the University of Tokyo, AIG, and the World Bank. We also have hired data scientists from CircleUp, as well as financial and data professionals from Fosun and Fidelity Investments.

For more information about ARPA, or to join our team, please contact us at or reach us at:

Learn about ARPA’s recent official news:

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Korean Chats: (Kakao) & (Telegram, new)


Twitter: @arpaofficial



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