Author

Boyi Liu

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#federated learning Open access Nov 2026

Progressive Collaboration Pruning for Federated Learning

Collaboration-based personalized federated learning (Co-PFL) mitigates data heterogeneity by enabling clients to selectively exchange knowledge through a learned collaboration graph. Despite their success, existing Co-PFL methods often update collaboration weights mainly from pairwise similarity, which can produce grap...

Siyao Cheng, Boyi Liu, Zimu Zhou et al. · ACM International Conference... · 0 citations

#federated learning Open access Nov 2026

HiMAC: Hierarchical Federated Learning with Mobility-Aware Collaboration

Mobility-aware hierarchical federated learning (MobiHFL) is an emerging paradigm to support urban applications where clients continuously move across edge-server coverage areas. Existing methods mainly treat mobility as a scheduling challenge and often train a single global model across all edge-servers. This overlooks...

Yibo Pan, Boyi Liu, Zimu Zhou et al. · ACM International Conference... · 0 citations