We had a great time speaking with Gurgen and Elvira about Fair Math, an FHE-focused competition platform that helps developers push the limits of FHE. We covered a lot of ground in this 40-minute interview, so please take some time to listen or continue below for the written breakdown.
Introduction? 22 seconds →
Fair Math is dedicated to making FHE easier for developers.
Gurgen began building an FHE library a few years ago and quickly realized there was an opportunity to build a challenges platform that would increase community engagement with FHE.
Elvira has a background in cyber security, which helps her contribute to the business side of the Fair Math challenges platform.
What is Fair Math? 3 minutes 50 seconds →
Simply put, Fair Math is a challenges platform dedicated to educating and then incentivizing FHE development through uniquely structured competitions.
The flow is as follows: a challenge is published, and the developers are given time to work on the project. Then the winning solution is published in Fair Math’s open-source library.
White Box vs. Black Box 6 minutes 8 seconds →
There are two types of challenges: Black Box challenges require only limited data from the participants, whereas White Box challenges require more data as there is more work done by the Fair Math team to test not only the solution’s accuracy but also it’s performance.
What makes Fair Math unique is that participants can submit unlimited times. This enables is an iterative process by which each of the participants learns from each other and builds on the best solutions.
Who Participates in Fair Math Challenges 12 minutes 30 seconds →
Most are either interested in ML or privacy-preserving technologies in some way.
The number of abstractions of FHE already in the form of libraries like Concrete-ML (for ML) or TFHE-rs (for smart contracts) is growing quickly and making the development experience easier and easier every day.
Who Posts the Challenges? 14 minutes 55 seconds →
Some of the challenges are to grow the Fair Math open-source library, while others are introduced by interested 3rd parties that are researching and exploring the FHE space.
Fair Math doesn’t make money, they are solely focused on pushing the FHE space forward.
Exciting Challenges Going on Now 23 minutes 55 seconds →
There is a categorization of an encrypted image challenge that is pretty interesting.
Future of the Space 24 minutes 45 seconds →
In terms of libraries, Gurgen is a strong believer in the TFHE library by Zama.
Why Rust? 29 minutes 5 seconds →
People don’t like C++
Fair Math hopes to publish the V1 library in Q2 2024.
Roadblocks for FHE 33 minutes 5 seconds →
Performance issues will be solved through hardware acceleration.
One big issue is getting FHE developers to become FHE developers. This boils down to education, both technical and ideological to the degree that we need these developers to want a privacy solution.
Verifiable FHE is going to be a huge way to build trust in the technology such that both parties in a given exchange or computation can say for sure that what was supposed to happen, did happen.
What’s Exciting in FHE x Blockchain 36 minutes 30 seconds →
The ability to program confidential data into public smart contracts.
What’s next for Fair Math? 38 minutes 30 seconds →
Building a new type of challenge, that has sub-challenges. This will help simplify larger projects and will enable this iterative competition design to yield even more innovative results.
In our discussion with Gurgen and Elvira, we delved into the fascinating world of Fair Math, a platform dedicated to advancing Fully Homomorphic Encryption (FHE) through engaging challenges. Fair Math offers developers a space to learn, compete, and innovate in FHE from its inception to its unique structure. With a diverse range of participants and exciting challenges on the horizon, Fair Math is poised to drive forward the development of FHE technologies. As they continue to overcome roadblocks and explore the intersection of FHE and blockchain, Fair Math stands at the forefront of revolutionizing data privacy and security in the digital landscape. Keep an eye on Fair Math as they pave the way for the future of FHE development.
Remember to watch the full video here, and follow us everywhere here: https://linktr.ee/fheonchain
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