2 papers
stat.ME2026
Toward Exact Convergence in Byzantine-Robust Decentralized Learning: A Statistical Identification Approach
Siyuan Zhang, Chengde Qian, Xin Liu +1
To defend against Byzantine attacks in decentralized learning, most existing methods rely on robust aggregation rules to mitigate the influence of malicious machines. However, thes…
stat.ML2026
Distribution-informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia +1
Conformal prediction provides a pivotal and flexible technique for uncertainty quantification by constructing prediction sets with a predefined coverage rate. Many online conformal…