Blog
Methodology, implementation write-ups and challenge post-mortems.
Privacy-preserving systems depend on a large and fragmented landscape of computational building blocks, with different implementations winning across parameters, workloads and hardware. As AI makes implementations cheaper to create and specialize, the bottleneck shifts from building them to continuously discovering, evaluating and integrating the best available options. FHERMA is the infrastructure layer for that new computational landscape.
Fair Math and NVIDIA are working together to address the performance bottlenecks of Fully Homomorphic Encryption by developing high-performance, GPU-accelerated building blocks through open challenges on the FHERMA platform, leveraging the state-of-the-art NVIDIA cuPQC SDK.
In this interview series, Elvira Kharisova, co-founder of Fair Math and a member of FHERMA organizing committee, speaks with emerging talents who have excelled in our challenges
In this interview series, Elvira Kharisova, co-founder of Fair Math and a member of FHERMA organizing committee, speaks with emerging talents who have excelled in our challenges
In this interview series, Elvira Kharisova, co-founder of Fair Math and a member of FHERMA organizing committee, speaks with emerging talents who have excelled in our challenges
The article details the solution provided by the winner of the FHERMA k-Nearest Neighbors Search
The article details the solution provided by the winner of the House Price Prediction challenge.
The article details the solution provided by the winner of the FHERMA Ethereum Fraud Detection
The article details the solution provided by the winner of the FHERMA Invertible Matrix challenge, Chi-Hieu Nguyen
The article details the solution provided by the winner of the FHERMA Ethereum Fraud Detection
The article details the solution provided by the winner of the Array Sorting challenge, Chi-Hieu Nguyen
The article details the solution provided by the winner of the Max Element challenge
The article details the solution provided by the winner of the FHERMA CIFAR-10 image classification challenge
The article details the solution provided by the winner of the SHL challenge
The article details the solution provided by the winner of the FHERMA Parity challenge, Chi-Hieu Nguyen
The article details the solution provided by the winner of the FHERMA Lookup table challenge.
The article details the solution provided by the winners of the CIFAR-10 image classification challenge, LattiGo implementation.
The article details the solution provided by the winners of the ReLU Function challenge
The article details the solution provided by the winner for the SIGN Evaluation Challenge.
The article details the solution provided by the winner for the Matrix Multiplication challenge.
The article details the solution provided by the winner for the Logistic Function Challenge.
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New articles, closed challenges and specification changes. No announcements.