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cs.LG2026
Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
Xiaoyu He, Weicai Li, Tiejun Lv +1
Decentralized federated learning (D-FL) enables privacy-preserving training without a central server, but multi-hop model exchanges and aggregation are often bottlenecked by commun…
cs.LG2025
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
Weicai Li, Tiejun Lv, Xiyu Zhao +2
Inherent communication noises have the potential to preserve privacy for wireless federated learning (WFL) but have been overlooked in digital communication systems predominantly u…
cs.LG2025
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
Xi Yu, Tiejun Lv, Weicai Li +3
Multi-task semantic communication can serve multiple learning tasks using a shared encoder model. Existing models have overlooked the intricate relationships between features extra…