For communication-efficient decentralized learning, we propose two new graphs: the k-peer exponential graph and the null-cascade graph.

GraphFLA extracts topographic features from biological sequence-fitness landscapes to complement benchmark scores, revealing how landscape topography influences model prediction performance and guiding more informed comparisons.

A benchmark to evaluate the robustness of Earth observation foundation models