Research map / Multi-agent systems and games / Cooperative multi-agent RL
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use D-EquiStatic instead of Static Exp. | DSGD with ResNet-20 · CIFAR-10 | test accuracy: 91.5% -> 92% | Helped |
| Use U-EquiStatic instead of Static Exp. | DSGD with ResNet-20 · CIFAR-10 | test accuracy: 91.5% -> 91.7% | Helped |
| Use bidirectional U-EquiStatic instead of directed D-EquiStatic | DSGD · Distributed least-square problems | convergence speed | Helped |
| Use OD/OU-EquiDyn instead of other compared topologies | DSGD · Decentralized stochastic optimization | transient iteration complexity | Helped |
| Use OD/OU-EquiDyn instead of other compared topologies | DSGT · Decentralized stochastic optimization | transient iteration complexity | Helped |
| Use OD-EquiDyn instead of other compared degree-1 topologies | Gossip averaging · n=4900 | consensus speed | Helped |
Closest papers by meaning
- Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence (NeurIPS 2023 · similarity 0.93)
- Asynchronous Decentralized SGD with Quantized and Local Updates (NeurIPS 2021 · similarity 0.90)
- Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation (NeurIPS 2026 · similarity 0.89)
- Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication (ICML 2019 · similarity 0.89)
- Scalable Decentralized Learning with Teleportation (ICLR 2025 · similarity 0.88)
- Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning (ICLR 2025 · similarity 0.87)
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