Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning

Ähnliche Einträge

• Reducing Communication for Split Learning by Randomized Top-k Sparsification
  von: Zheng, Fei, et al.
  Veröffentlicht: (2023)
• Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients
  von: Wu, Tian-Shuang, et al.
  Veröffentlicht: (2026)
• Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
  von: Yoon, Daegun, et al.
  Veröffentlicht: (2024)
• Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
  von: Liang, Yipeng, et al.
  Veröffentlicht: (2025)
• Masked Random Noise for Communication Efficient Federated Learning
  von: Li, Shiwei, et al.
  Veröffentlicht: (2024)