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most citedRiemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation

14 citations · 14 across the 11 of their papers we have counts for

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math.OC2024

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems

Yeqing Qiu, Ye Xue, Akang Wang +3

The Max-k-Cut problem is a fundamental combinatorial optimization challenge that generalizes the classic NP-complete Max-Cut problem. While relaxation techniques are commonly emplo…