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BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning
Mouhamed Amine Bouchiha, Gregory Blanc, Yufei Han
Decentralized Federated Learning (DFL) promises trust-free collaborative learning by replacing the centralized parameter server with peer-to-peer model exchange. However, this arch…
Robust Reputation-Driven Crowdsourced Federated Learning
Mouhamed Amine Bouchiha, Gregory Blanc
Crowdsourced Federated Learning (CrowdFL) extends traditional federated learning by enabling open and heterogeneous participation through a crowdsourcing paradigm. In this setting,…
TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction
Mouhamed Amine Bouchiha, Gregory Blanc
Cyber Threat Intelligence (CTI) reports are predominantly unstructured, heterogeneous, and noisy, which limits their direct usability for automated analysis and reasoning. Cybersec…
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…
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
Federated learning (FL) has emerged as a promising paradigm for managing electric vehicle (EV) battery data in intelligent transportation systems (ITS), enabling privacy-preserving…