Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization
cs.LG, cs.DC
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning
- FastMoE: A Fast Mixture-of-Expert Training System
- Mixtral of Experts
- Scaling Laws for Neural Language Models
- GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems
- DeepSeek-V3 Technical Report
- SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Experts
- Optimizing Split Federated Learning with Unstable Client Participation
- ST-MoE: Designing Stable and Transferable Sparse Expert Models
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