5 papers
DARTIC: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing
Mouhamed Amine Bouchiha, Mourad Rabah, Ronan Champagnat +2
On-chain crowdsourcing leverages blockchain's decentralization, transparency, and tamper-resistance to build trustworthy and verifiable Web3 crowdsourced services. However, existin…
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
Meryem Malak Dif, Mouhamed Amine Bouchiha, Mourad Rabah +1
Blockchained federated learning (BFL) combines the concepts of federated learning and blockchain technology to enhance privacy, security, and transparency in collaborative machine…
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane +1
Blockchain-based Federated Learning (FL) is an emerging decentralized machine learning paradigm that enables model training without relying on a central server. Although some BFL f…
RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
Ahmed Mounsf Rafik Bendada, Mouhamed Amine Bouchiha, Mourad Rabah +1
Current blockchain-based reputation solutions for crowdsourcing fail to tackle the challenge of ensuring both efficiency and privacy without compromising the scalability of the blo…
LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models
Mouhamed Amine Bouchiha, Quentin Telnoff, Souhail Bakkali +4
Large Language Models (LLMs) have witnessed rapid growth in emerging challenges and capabilities of language understanding, generation, and reasoning. Despite their remarkable perf…