{decentralized} FHE
Holy Grail of Cryptography
The first distributed infrastructure that accelerates Fully Homomorphic Encryption by 100x through our revolutionary hybrid RNS architecture. Process encrypted data without compromising security or performance.
Build with dFHE at 100x speed
Integrate our decentralized FHE infrastructure into your applications to enable privacy-preserving computation without sacrificing performance.
- Simple API for encrypted computation
- SDKs for multiple languages and vertical integrations
- Comprehensive documentation
Run a Node
Contribute computational resources to the network to get rewards while helping to build a more private and secure digital future.
- Incentivized computation
- Specialized hardware acceleration support
- Simple node setup and management
Hybrid RNS Architecture
Our revolutionary approach distributes FHE computations across specialized nodes, leveraging the inherent parallelism of the Residue Number System to achieve unprecedented performance.
Client Layer
Interfaces with applications, manages task submission and result verification. Provides a seamless API and vertical integrations (e.g. compilers)
Orchestration Layer
Decomposes FHE operations, allocates tasks, and coordinates execution across the network with geo-aware distribution.
Execution Layer
Specialized nodes performing RNS arithmetic with GPU/FPGA/custom silicon acceleration, optimized for specific FHE operations.
Verification Layer
Ensures computational integrity and compliance with protocol rules through cryptographic proofs and economic incentives.
Distributed RNS Architecture
Our network distributes FHE operations across specialized nodes using the Residue Number System
Task Distribution
Decompose and distribute FHE operations
Parallel Processing
Execute independent operations in parallel across nodes
Secure Aggregation
Combine results while preserving encryption
100x Faster FHE Operations
// Distribute RNS-based FHE computation across the networkconst encryptedResult = await dFHE.computeDistributed(encryptedData, operation);// 100x faster while maintaining full homomorphic encryption securityRevolutionary FHE Infrastructure
Our platform combines four key components to deliver unprecedented performance for fully homomorphic encryption operations.
- 1
Hybrid RNS Architecture
Geo-aware task distribution, operation-specific optimization, and adaptive specialization for maximum performance with minimal communication overhead.
- 2
High-Performance Communication Layer
FHE-specific compression, topology-aware routing, and communication-computation overlap to minimize network latency and maximize throughput via SIMD operations.
- 3
Security & Trust Framework
Economic security model with stake-based participation, cryptographic verification system, and transparent operation with auditable computation history.
- 4
Incentive Structure
Incentivized based RNS tasks, quality-of-service bonuses, and staking requirements proportional to computation responsibilities.
Privacy-Preserving Solutions
Our decentralized FHE infrastructure enables secure computation across various sectors where data privacy is paramount, without the traditional performance penalties.
DeFi
Privacy-preserving DeFi operations without exposing sensitive data. Eliminate MEV and improve DeFi UX.
- MEV-free DeFi
- Privacy-preserving protocols
- Secure portfolio management without exposure
Medical Research
Secure analysis across private patient datasets, enabling collaborative research while maintaining strict patient privacy and regulatory compliance.
- Multi-hospital clinical studies
- Privacy-preserving genomic analysis
- Secure drug discovery collaboration
Machine Learning
Training and inference on encrypted data, enabling collaborative AI development without exposing sensitive training data or proprietary models.
- Privacy-preserving model training
- Secure federated learning
- Confidential inference services
Privacy-Preserving Analytics
Business intelligence without exposing sensitive information, enabling data-driven decisions while maintaining confidentiality of customer and operational data.
- Secure supply chain analytics
- Privacy-compliant customer insights
- Confidential market analysis
Build with dFHE
Everything you need to integrate privacy-preserving computation into your applications.
SDK & API
Comprehensive SDKs for multiple languages with simple APIs to integrate FHE operations into your applications.
// JavaScript SDK Example
import { dFHE } from '@dfhe/sdk';
// Encrypt data client-side
const encrypted = await dFHE.encrypt(sensitiveData);
// Process on the dFHE network
const result = await dFHE.compute(encrypted, {
operation: 'matrix-multiply',
params: { ... }
});
// Decrypt results client-side
const decrypted = await dFHE.decrypt(result);Documentation
Comprehensive guides, tutorials, and API references to help you get started quickly and make the most of the dFHE platform.
- Getting Started Guide
- API Reference
- Integration Tutorials
- Best Practices
- Sample Applications
Integration Examples
Ready-to-use examples for common use cases to help you quickly implement privacy-preserving features in your applications.
Secure Data Analysis
Process sensitive data analytics without exposing raw information.
Private Machine Learning
Train models on encrypted data while preserving privacy.
Multi-Party Computation
Collaborate on computations without sharing raw data.
Run a dFHE Node
Contribute to the network, get rewards, and help build a more private digital future.
Node Requirements
Hardware Specifications
- CPU:
8+ cores, modern x86-64 processor with AVX2 support
- RAM:
32GB+ DDR4 memory
- Storage:
500GB+ SSD storage
- Network:
100Mbps+ connection with low latency
- Optional Acceleration:
NVIDIA GPU with CUDA support or FPGA for enhanced performance
Economic Requirements
- Minimum Stake:
Minimum tokens threshold $dFHE tokens required to operate a node
- Slashing Conditions:
Penalties for malicious behavior or extended downtime
Rewards & Benefits
Reward Potential
- Computation Rewards:
Get tokens for each FHE operation processed by your node
- Quality-of-Service Bonuses:
Additional rewards for maintaining high uptime and performance
- Staking
Stack and grow from your staked tokens
Node Setup Process
- Register: Sign up for the node operator waitlist
- Verify: Complete hardware verification
- Stake: Deposit the required minimum stake
- Deploy: Set up your node using our easy installation script
- Earn: Start processing FHE operations and get rewards
Frequently Asked Questions
Everything you need to know about the dFHE infrastructure and how it works.
What is Fully Homomorphic Encryption (FHE)?
Fully Homomorphic Encryption is a form of encryption that allows computations to be performed directly on encrypted data without requiring decryption first. The results of these computations remain encrypted and can only be decrypted by the data owner.
How does the dFHE Computer achieve 100x acceleration?
Our platform leverages the inherent parallelism of the Residue Number System (RNS) to distribute FHE computations across specialized nodes. By combining this with our optimized communication layer and hardware acceleration, we plan to achieve performance improvements of up to 100x compared to standard FHE implementations.
Is my data secure on the dFHE network?
Yes, absolutely. Your data remains encrypted throughout the entire computation process. The dFHE network processes the encrypted data without ever decrypting it, ensuring end-to-end privacy and security. Our economic security model and verification system further ensure the integrity of computations.
When will the dFHE infrastructure be available?
We're launching our foundation phase in Q2 2025, with the MVP testnet deployment scheduled for Q3 2025. The full mainnet launch with the complete economic model is planned for Q4 2025. You can join our waitlist now to get early access to our platform as we progress through these phases.
What types of operations can be performed with dFHE?
The dFHE infrastructure supports a wide range of operations on encrypted data, including arithmetic operations (addition, multiplication), matrix operations, statistical analysis, and even complex operations like machine learning inference and training. Our platform is designed to be flexible and support various computational needs across different industries.
How do I integrate dFHE into my application?
Integration is straightforward with our comprehensive SDKs available for multiple programming languages. Our simple API allows you to encrypt data client-side, send it to the dFHE network for processing, and then decrypt the results client-side. We provide detailed documentation, tutorials, and example code to help you get started quickly.
What are the requirements to run a node?
Node operators need a modern server with at least 8 CPU cores, 32GB RAM, 500GB SSD storage, and a 100Mbps+ network connection. Additionally, you'll need to stake a minimum of 10,000 dFHE tokens to participate in the network. Optional GPU or FPGA acceleration can enhance performance and potentially increase rewards.
How does dFHE compare to other privacy technologies?
Unlike secure multi-party computation (MPC) or trusted execution environments (TEEs), dFHE provides true cryptographic privacy without requiring trust assumptions or multiple non-colluding parties. Compared to traditional FHE implementations, our distributed approach offers up to 100x better performance, making it practical for real-world applications.
The Technology Behind dFHE
Dive deep into the technical details of our revolutionary approach to distributed Fully Homomorphic Encryption.
- Comprehensive explanation of our Hybrid RNS Architecture
- Detailed performance benchmarks and comparisons
- Security analysis and cryptographic foundations
- Economic model and incentive structure
- Roadmap and future research directions
Get the Whitepaper
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Join the Revolution in Privacy-Preserving Computation
Get early access to our platform and be among the first to leverage our decentralized FHE infrastructure.
By submitting this form, you agree to our Terms & Conditions.
After joining the waitlist, you'll receive:
- • Exclusive updates on our development progress
- • Early access to our testnet when available
- • Invitation to our developer community
- • Priority support from our technical team