ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 3.33
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 3.33
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
LEVERAGING RECURSION FOR EFFICIENT FEDERATED LEARNING Federated learning algorithms perform multiple local updates on clients before communicating with the parameter server to reduce communication overhead and improve overall training efficiency. However... 3.33 0% See Reviews View AI Dashboard
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