dynamic client participation 1hierarchical federated learning 1incentive allocation 1large language models 1model unlearning 1parameter-efficient fine-tuning 1
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math.OC2026
Unified Communication Compression Beyond Global Error Bounds for Distributed Nonconvex Optimization
Haonan Wang, Minghui Liwang, Yiguang Hong +2
In this paper, we propose a unified compression algorithm for distributed nonconvex opitmization with both the locally- and globally-bounded communication compressors, including 1-…
math.OC2026
Heterogeneous Distributed Zeroth-Order Nonconvex Optimization with Communication Compression
Haonan Wang, Xinlei Yi, Yiguang Hong +1
Distributed zeroth-order optimization is increasingly applied in heterogeneous scenarios where agents possess distinct data distributions and objectives. This heterogeneity poses f…