CNRS-LIRIS

Mitigation of Sybil-based Poisoning Attacks in Permissionless Decentralized Learning
Decentralized learning enables collaborative machine learning with enhanced privacy by allowing participants to train models locally …
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Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks
The primary promise of decentralized learning is to allow users to engage in the training of machine learning models in a collaborative …
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Differentially Private and Decentralized Randomized Power Method
The randomized power method has gained significant interest due to its simplicity and efficient handling of large-scale spectral …
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