Author

Ousmane Touat

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Jun 2026

Giskard : Byzantine Robust and Private Aggregation for Large-Scale Decentralized Learning

Giskard is presented, a scalable protocol for private and Byzantine-robust decentralized aggregation that reduces per-party communication complexity by close to three orders of magnitude over the closest competitor while exhibiting comparable robustness under up to $n/4 Byzantine parties.

Ousmane Touat, César Sabater, Mohamed Maouche et al. · 0 citations