We are thrilled to announce that two of our papers have been accepted for presentation at the 7th IEEE International Conference on Blockchain (Blockchain 2024), with an acceptance rate of only 18.89%.
The first paper, "Blockchain-Based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation," tackles the challenges in federated learning. This approach leverages zero-knowledge proofs and blockchain technology to ensure the privacy and verifiability of model training and aggregation without a centralized aggregator. Our experimental results demonstrate its efficiency and effectiveness in maintaining data integrity and security.
The second paper, "zkSSI: A Zero-Knowledge-Based Self-Sovereign Identity Framework," presents zkSSI, a novel framework for digital identity management. This solution utilizes zk-SNARKs to allow verifiers to express complex conditions and verify compliance while ensuring user privacy. The framework is designed to operate efficiently in both on-chain and off-chain environments, even with consumer-grade hardware.
These papers represent significant advancements in federated learning and identity management, showcasing the potential of blockchain and zero-knowledge proofs to address critical security and privacy challenges.
We look forward to presenting our findings and engaging with the global blockchain community at IEEE Blockchain 2024.
