Palliora is a decentralized platform for sharing intelligent thoughts and is designed to allow users to selectively share their data for trusted, confidential, and verifiable computation. Its primary purpose is to provide security and privacy guarantees, ensuring that only the intended recipients will have access to the data, which is essential for fostering growth in the knowledge economy and the AI sector where centralized trust is a major hurdle.
Palliora: securing the future of confidential data and AI
Human society is rapidly shifting into a knowledge economy, where the value of data dramatically increases when aggregated and shared, a phenomenon amplified by the rise of Artificial Intelligence (AI). However, a persistent challenge remains: we typically share our valuable information and data with centralized entities without guarantees on its exact handling. This reliance introduces significant inefficiencies and risks a loss of confidentiality and privacy.
Palliora is proposed as a comprehensive solution: a system based on an ad hoc public ledger within a decentralized framework. Its fundamental goal is to address this core problem by enabling trusted, confidential, and verifiable computation on selectively shared data, ensuring that only the designated recipients have access. This system also guarantees fairness to all participants in an AI ecosystem: data providers, model providers, training providers, and model users.
Palliora achieves a level of technological trust, comparable to that of a public blockchain, ensuring data owners are confident that their data will not be disclosed outside the agreed-upon scope.
Key functionalities and benefits:
Palliora’s architecture is flexible and general, offering crucial features for data and computation management:
- Users can submit any type of data along with detailed instructions dictating who can access the data and how.
- Any required computation can be accompanied by a formally-defined required level of confidentiality, which may utilize advanced techniques such as homomorphic encryption (FHE), secure multi-party computation (SMPC), or trusted execution environment (TEE) computations.
- Any data submission or computation request can also include provisions for input verification and/or output verification.
- Actors receive a fair reward for their work and active participation. This reward value is determined partly by public algorithms and partly by direct negotiations through Palliora’s special computable contracts.
The Palliora ecosystem in action:
Palliora relies on several independent actors operating across overlapping networks:
- Guardians: Manage a decentralized access-control system and coordinate the protocol’s execution.
- Calculators (C): Provide computational services and execute calculations on the publisher’s data.
- Verifiers (V): Check the quality and consistency of both input and output data according to agreed-upon tests.
- DA nodes: Ensure Data Availability, handling all data management and storing while providing verifiable availability guarantees.
This framework enables wide-ranging use cases, including Finance (such as compliant and private transactions or privacy-preserving credit assessment) and critical AI applications, such as fostering Open Source AI development, enabling the confidential testing of Encrypted Models for AI, and establishing a vibrant AI Marketplace where actors negotiate deals for data, models, and related services.
Palliora’s core strength lies in its ability to combine economic incentives with rigorous cryptographic protocols to ensure trust. Would you like to explore in detail how Palliora’s unique tokenomics structure ensures the stability of the network, or delve into the specifics of the (DAA, DAC) logic that dictates data access and verifiable computations within the system?