Thu, November 21

Fhenix Launches Twin Grant and Bounty Programs to Boost Its FHE Layer2

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Two new projects will be launched by Fully Homomorphic Encryption (FHE) Layer 2 Fhenix to hasten the adoption of its expanding ecosystem as per the latest announcement. For developers and projects interested in using Fhenix L2, twin grant and bounty programs have been established to provide incentives and assistance.

To encourage researchers to explore the potential of Fully Homomorphic Encryption for confidential computing, the Fhenix Grant program has been established. Developers working on FHE infrastructure or planning to release confidential apps onchain are eligible to apply for the initiative, which is presently accepting applications.

Projects that provide critical tooling for dealing with data secured by Fully Homomorphic Encryption and generate unique use cases are being sought after by Fhenix. In order to get funding to assist develop their solution, qualifying grantees are required to specify critical deliverables, key performance indicators, and project milestones in their applications.

Projects may now begin the application process on Fhenix.io’s dedicated grant page. The Fhenix team will go over all of the grant applications thoroughly and get in touch with the projects to ask for clarification if needed. Proposals for larger-scale initiatives that aim to improve onchain confidentiality using FHE are being considered for the funding program.

Additionally, there is a bounty program that works in tandem with the Fhenix grant program to provide funding for more targeted, smaller initiatives. You can find a list of all the current bounties on Fhenix.io’s bounty page, along with an explanation of what each one entails. At the end of each project, the Fhenix team will try to assign the most qualified participants to each bounty, and those who were successful will get the corresponding bounty reward.

With the help of the Fhenix grant and bounty programs, more developers will be able to learn about its EVM-compatible L2 and create use cases that utilize FHE. During the process, it will highlight the various confidentiality-enabled apps that use Fully Homomorphic Encryption.

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