Welcome to
ØG Research
At ØG, we connect advanced AI with Web3, driving innovation in decentralized AI through cutting-edge research and collaboration across blockchain ecosystems.
Optimizing Model Training in Decentralized AI Systems with Scalable Frameworks and Algorithms for Efficient and Collaborative Global Learning.
Communication Optimization
Decentralized learning requires frequent sharing of intermediate results, which becomes costly with large models and data. To reduce communication overhead, we will explore advanced techniques like lossless gradient compression and quantization.
Local Computation Optimization
Training at scale imposes heavy computation loads, especially on edge devices. We aim to ease this by integrating efficient training pipelines, parallelization methods, and model pruning to enable faster and lighter training.
Performance Optimization with Heterogeneous Data
Variations in local data can cause model drift and reduce accuracy. We plan to develop algorithms that adapt learning rates per neuron and use smart round selection to improve training and aggregation under heterogeneous data conditions.
Performance Optimization with Dynamic Environment
In real-world decentralized systems, nodes join and leave unpredictably. We will design asynchronous protocols and schedulers to predict node behavior and prioritize high-quality updates, ensuring stable and accurate model training.
Model Alignment in Decentralized AI Systems
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Contemporary large language models demonstrate exceptional text interpretation and generation capabilities. However, they also raise ethical risks as they could inadvertently generate inappropriate, biased, harmful, or non-factual content. These risks are exacerbated in decentralized AI ecosystems, where each node's training data is neither controllable nor filtered. It is important to perform model alignment, ensuring the model output aligns with human values.
Enhanced Learning Algorithms with Human Preference
The most common solution for alignment is to integrate human preferences as human values in model optimization, e.g., Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO). We aim to apply these strategies to decentralized settings and make them more efficient.
Self-Regulation and Correction
In social psychology, perspective taking is an important emotional intelligence skill. Inspired by this principle, we will propose new alignment strategies, which guide the model to automatically inspect its output responses, identify any content misaligned with human values, and rectify it.
Decentralized Debating for Alignment
Debating is another popular alignment method, where multiple models (or agents) debate with each other to produce the most accurate and valuable content. This approach is a natural fit for decentralized AI, where there are multiple models from different nodes ready for debate.
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Technical Breakthroughs
from the ØG Research Lab
Have an innovative idea you'd like us to consider?
We're open to fresh perspectives — share your concept or proposal with us.
New Blockchain System Empowered by Multi-Agent Technology
LLM-based multi-agent systems are rising in popularity for managing complex tasks through coordinated AI agents. Their structure aligns well with blockchain, where each node can act as an agent. We will explore key applications of this integration to enhance functionality and efficiency.
Smart Contract Management:
Smart contracts are a critical component in blockchain to automate transaction execution. It is promising to analyze, manage, and optimize this software in a distributed manner. We could implement a multi-agent solution in the blockchain, with each agent focusing on different functionalities. Their collaboration could significantly augment the blockchain with comprehensive smart contract services.
Anomaly Detection:
During blockchain execution, malicious entities may attempt to interfere with transactions, consensus mechanisms, or cross-node communications. It is thus vital to introduce security schemes to monitor the system and detect any anomalies. We will design and develop multi-agent systems to achieve this goal. By encouraging different agents to focus on various aspects of events and coordinating their decisions, the trustworthiness of the blockchain environment will be greatly enhanced.
Collaborating with World-Leading Institutions
We partner with top universities and research organizations to advance decentralized AI technology.
Infrastructure for Healthcare AI & Robotics
ØG provides decentralized infrastructure for organizations working on healthcare AI, robotics, and data-intensive applications. Here's what we bring to the table.
Decentralized Data Storage
Store and manage sensitive data with ØG Storage — decentralized, encrypted, and verifiable. Built for compliance-heavy industries where data sovereignty matters.
- End-to-end encryption with cryptographic verification
- Immutable audit trails for regulatory compliance
- No single point of failure
- Patient-controlled access keys
AI Compute Network
Access a global GPU network through ØG Compute with TEE (Trusted Execution Environment) verification. Run AI inference and training without building your own infrastructure.
- Pay-per-use GPU access, no idle costs
- Verifiable execution with TEE proofs
- Global availability, no vendor lock-in
- Supports large-scale model training
Research Collaboration & Funding
We work directly with research teams — providing technical support, infrastructure access, and investment opportunities for projects building on ØG.
- Direct access to ØG engineering team
- Investment support for promising projects
- Co-author research papers with our team
- Connect with our university partner network
Build Your Application on ØG
Whether you're working on medical imaging, robotic coordination, federated learning, or any data-intensive AI application — we want to hear from you.
Apply for Research Partnership
We're actively seeking partnerships with universities, research institutions, and companies working on decentralized AI, healthcare technology, and robotics.
Technical Support
Access to ØG's engineering team and infrastructure. Get hands-on guidance for building on our decentralized platform.
Investment Opportunities
Funding support for promising projects. We invest in research that pushes the boundaries of decentralized AI.
Research Collaboration
Co-author papers with cutting-edge researchers. Publish alongside our team at top-tier conferences and journals.
Ecosystem Access
Join our global network of partners. Connect with leading universities, research labs, and industry collaborators worldwide.