es/iode’s Post

While centralized servers pose a risk of being a single point of failure,decentralized approaches like blockchain offer a compelling solution byimplementing a consensus mechanism among multiple entities. Merging distributedcomputing with cryptographic techniques, decentralized technologies introduce anovel computing paradigm. Blockchain ensures secure, transparent, andtamper-proof data management by validating and recording transactions viaconsensus across network nodes. Federated Learning (FL), as a distributedmachine learning framework, enables participants to collaboratively trainmodels while safeguarding data privacy by avoiding direct raw data exchange.Despite the growing interest in decentralized methods, their application in FLremains underexplored. This paper presents a thorough investigation intoBlockchain-based FL (BCFL), spotlighting the synergy between blockchain'ssecurity features and FL's privacy-preserving model training capabilities.First, we present the taxonomy of BCFL from three aspects, includingdecentralized, separate networks, and reputation-based architectures. Then, wesummarize the general architecture of BCFL systems, providing a comprehensiveperspective on FL architectures informed by blockchain. Afterward, we analyzethe application of BCFL in healthcare, IoT, and other privacy-sensitive areas.Finally, we identify future research directions of BCFL. #DecentralizedTechnology #BlockchainSecurity #PrivacyPreservation #BlockchainInnovation #FederatedLearning

While centralized servers pose a risk of being a single point of failure,decentralized approaches like blockchain offer a compelling solution byimplementing a consensus mechanism among multiple entities. Merging distributedcomputing with cryptographic techniques, decentralized technologies introduce anovel computing paradigm. Blockchain ensures secure, transparent, andtamper-proof data management by validating and recording transactions viaconsensus across network nodes. Federated Learning (FL), as a distributedmachine learning framework, enables participants to collaboratively trainmodels while safeguarding data privacy by avoiding direct raw data exchange.Despite the growing interest in decentralized methods, their application in FLremains underexplored. This paper presents a thorough investigation intoBlockchain-based FL (BCFL), spotlighting the synergy between blockchain'ssecurity features and FL's privacy-preserving model training capabilities.First, we present the taxonomy of BCFL from three aspects, includingdecentralized, separate networks, and reputation-based architectures. Then, wesummarize the general architecture of BCFL systems, providing a comprehensiveperspective on FL architectures informed by blockchain. Afterward, we analyzethe application of BCFL in healthcare, IoT, and other privacy-sensitive areas.Finally, we identify future research directions of BCFL. #DecentralizedTechnology #BlockchainSecurity #PrivacyPreservation #BlockchainInnovation #FederatedLearning

Navigate Web3's Future with 0G: Key Concepts and Innovations 0G is a highly scalable data availability and storage solution essential for Web3's advancement. Existing solutions face performance limitations and lack large-scale data storage, crucial as the industry shifts towards modularity. Many of these concepts are cutting-edge and can be challenging to navigate. This article explores key technologies shaping this evolution, including: Data Availability: Ensures blockchain data is accessible for users and applications. Current DAL solutions are costly and lack the throughput needed for many use cases. 0G aims to provide a scalable DAL supporting on-chain AI and large-scale dApps. On-Chain AI / Crypto AI: Integrates AI with blockchain, enhancing smart contracts with adaptive capabilities. Transparency in AI model training and data handling is a challenge. 0G offers a scalable DAL, crucial for AI’s data-intensive demands, making it significantly cheaper than existing solutions. Restaking: Allows Ethereum validators to provide staked ETH as security for new projects, pioneered by EigenLayer. This increases staking rewards and security for new projects. Modularity in Web3: Shifts from monolithic to modular blockchains, specializing in specific tasks. 0G supports modular networks, offering greater flexibility, lower costs, and broader accessibility. Decentralized Identity (DID): Empowers users to control their data without centralized entities, representing subjects globally. Zero-Knowledge Proofs (ZKPs): Cryptographic technique enhancing privacy and scalability, with calculations handled off-chain and ZKPs authenticating them. Tokenomics: Encompasses the economics of tokens, focusing on sustainable, growth-oriented Web3 projects. 0G's token model and incentives are being developed with input from industry leaders. Understanding these concepts places you at the forefront of blockchain technology, illustrating the critical need for solutions like 0G. Follow us on Twitter for the latest updates.

Building the Blockchain Systems of Tomorrow: 9 Key Principles 1. 🌐 Scalability: Seamless Expansion Scale dynamically with sharding and Layer 2 solutions (e.g., zk-Rollups) Quantum-resistant algorithms prepare us for the quantum era 2. 🔒 Availability: Unbreakable Networks Geo-distributed consensus ensures uptime during disruptions Fault-tolerant smart contracts and mesh networks maintain resilience 3. ⚡ Consistency: Zero Latency Data Sync Real-time synchronization across global networks Atomic cross-chain transactions guarantee seamless data integrity 4. 📊 Partitioning: Dynamic Data Segmentation Self-adaptive sharding and edge computing for optimal data management Decentralized nodes reduce latencies for better performance 5. 🚀 Caching: Accelerated Processing with AI AI-driven predictive caching for smart data access Multi-layer cache synchronization ensures ultra-low latency 6. 🛡️ Security: Quantum-Resistant Protection Post-quantum cryptography ensures security in the quantum era AI-driven anomaly detection defends against evolving threats 7. 🔗 Interoperability: Cross-Chain Communication Seamless data sharing with cross-chain protocols Polkadot and Cosmos facilitate interconnected ecosystems 8. 🌍 Decentralization: Trustless Operations Decentralize infrastructure, applications, and storage Leverage IPFS and Filecoin for distributed file storage 9. 🤖 AI & Machine Learning: Optimized Blockchain AI-driven load balancing for better system management Self-healing capabilities and fraud detection through predictive algorithms These 9 transformative principles will guide the next-gen blockchain systems, ensuring they are scalable, resilient, and secure in the ever-evolving digital landscape.

Exciting Emerging Technologies Shaping the Future of Web3 The world of Web3 and decentralized technologies is rapidly evolving, with numerous cutting-edge innovations taking center stage. As we move towards a more decentralized and transparent internet, several emerging technologies are poised to revolutionize the way we interact, transact, and create value online. 1. Zero-Knowledge Proofs (ZKPs): ZKPs are cryptographic techniques that allow one party to prove to another party that a statement is true without revealing any additional information. This technology has immense potential to enhance privacy and security in Web3 applications, enabling trustless and confidential transactions on public blockchains. 2. Decentralized Identities (DID): DIDs are self-sovereign digital identities that enable individuals and organizations to control their personal data and online identities without relying on centralized authorities. This technology empowers users to manage their digital footprint seamlessly across different Web3 platforms and applications. 3. Decentralized Oracles: Oracles are essential components that bring real-world data onto blockchain networks, enabling smart contracts to interact with off-chain data sources. Decentralized oracles, such as Chainlink and Band Protocol, are emerging as trustworthy and secure solutions for connecting blockchains to external data feeds. 4. Layer 2 Scaling Solutions: As the adoption of Web3 grows, scalability remains a significant challenge for many blockchain networks. Layer 2 scaling solutions, like Optimistic Rollups, ZK-Rollups, and State Channels, are designed to increase transaction throughput, reduce fees, and improve the overall user experience. 5. Decentralized Storage: Decentralized storage solutions, such as IPFS (InterPlanetary File System) and Arweave, offer a peer-to-peer alternative to traditional centralized storage systems. These technologies enable secure, censorship-resistant, and distributed storage of data, making them ideal for Web3 applications that prioritize data integrity and availability. These are just a few examples of the emerging technologies shaping the future of Web3. As the ecosystem continues to mature, we can expect more innovations that push the boundaries of decentralization, transparency, and user control. Stay tuned for more updates on the exciting developments in this rapidly evolving space!

Development Update 20 February - 27 February 🔺 Blockchain Progress Last week marked the rollout of v0.9.40 on the mainnet. The dev team remains hard at work, focusing on Substrate updates to ensure a smooth transition for v0.9.42. Additionally, they've made significant contributions to the Humanode codebase and submitted pull requests on Frontier. 🔺 Biomapper Documentation and SDK The team has been meticulously finalizing and refining documentation and SDK. This includes integration variations such as HTTP API, indexers, and bridges, along with detailed technical information and implementation specifics. We're thrilled to announce the release this week! 🔺 Exploration of Cross-chain Messaging Protocols Excitingly, the Humanode team is actively considering the addition of new bridges and is in discussions with various potential collaborators. This strategic move aims to enhance interoperability and connectivity within the blockchain ecosystem for both Humanode EVM and Biomapper. 🔺Research on Biometric Providers The team is fully immersed in the exploration of integrating more liveness detection providers to enhance decentralization within Humanode’s biometric infrastructure. This strategic decision underscores their dedication to diversifying and fortifying the ecosystem by welcoming a variety of reliable providers. Looking ahead, they are also deliberating on gradually incorporating multiple providers, ensuring the platform's resilience and adaptability as technology evolves and challenges emerge in the future. 🔺Technical Session with Facetec Last week, the team conducted a technical meeting with the founders of Facetec, delving into discussions on forthcoming biometric advancements, particularly those aimed at countering generative AI.

We’re thrilled to announce our seed funding as we work towards facilitating the creation of innovation on Eigen Labs 🏗 Othentic is on a mission to enable the creation of novel and distributed computation services by providing a self-deploy infrastructure to spin up systems with underlying shared security 🪐 The Othentic Stack orchestrates and abstracts the shared security primitive, allowing AVS developers to self-deploy (1) custom computational services over trustless execution environments and (2) a network of Operators that run arbitrary compute tasks. Othentic introduces a framework for Stateless Rollups, a promising avenue for decentralized compute scalability, offering a flexible and secure framework to execute off-chain computations. Stateless Rollups are computing networks that provide services to other networks or applications without being constrained by any particular blockchain. The framework facilitates the creation of co-processors, ZK provers, privacy-preserving computations, decentralized order books, AI inference networks, exploit prevention systems, and other novel services. Leveraging a library of production-ready components, AVS developers can focus on their core service, minimize engineering overheads, and abstract away low-level implementations and error-prone infrastructure details. Check out our blog for a deeper dive —> https://lnkd.in/d9nqzDSS

Simplifying Archethic Technology: AEIP 26 Overview👇 1/ Understanding the Current Consensus The Archethic blockchain employs the ARCH consensus, a novel consensus mechanism distinct from Proof of Work (POW) or Proof of Stake (POS). It boasts a remarkable tolerance for malicious nodes—90%, compared to the 51% and 66% tolerances of POW and POS, respectively. Unlike traditional methods that rely on the collective effort of all network nodes, the ARCH consensus selects a random group of nodes to validate transactions. This group must reach unanimous agreement to validate a transaction. 2/ Revolutionizing the ARCH Consensus This AEIP proposes an "adaptive consensus." In essence, the ARCH consensus's tolerance for malicious nodes is determined by the "total number of nodes available on the network" and the "elected nodes" for transaction validation. Consider a scenario with 10,000 apples, where 90% are red (representing malicious nodes) and 10% are green (representing normal nodes). With a 90% malicious tolerance, the probability of selecting 195 apples and finding them all to be red is one in a billion—a measure of the current tolerance for malicious nodes. Similarly, with tolerances of 51% and 66%, the chances of selecting all red apples from groups of 31 and 50, respectively, are also one in a billion. For a 99% malicious tolerance, selecting 1863 apples with all being red remains a one in a billion chance. 3/ Advantages of the "Adaptive Consensus" Operating the network with a 51% malicious tolerance reduces the number of nodes required for validation, leading to significant decreases in energy consumption (by 80%), network load (by 80%), and validation time also decreases considerably. 4/ Why "Adaptive" The system is adaptive because if it detects a malicious node within a group of elected nodes, it bans that node and then increases the malicious tolerance. This means the number of slots for election can increase from 31 to 50 to maintain a 66% malicious tolerance with 10,000 nodes available, repeating the process until no more malicious nodes are detected. 5/ AEIP 26: The Adaptive ARCH Consensus AEIP 26 aims to lower critical metrics such as energy consumption, network load and validation time, while still allowing the network to achieve high malicious tolerance. This approach offers an innovative way to secure the future of Web 3.0. The publication of this improvement on the Archethic Blockchain is pending discussion.