Prototype Helps Federated Learning: Towards Faster Convergence

Prototype Helps Federated Learning: Towards Faster Convergence

22 March 2023

Yu Qiao

Choong Seon Hong

Papers citing "Prototype Helps Federated Learning: Towards Faster Convergence"

7 / 7 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 36 0 0 11 May 2025
Towards efficient compression and communication for prototype-based decentralized learning Pablo Fernández-Piñeiro Manuel Ferández-Veiga R. Redondo Ana Fernández-Vilas Martín González Soto 40 0 0 14 Nov 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality Biwei Yan Hongliang Zhang Minghui Xu Dongxiao Yu Xiuzhen Cheng 44 5 0 15 Jan 2024
VFedMH: Vertical Federated Learning for Training Multiple Heterogeneous Models Shuo Wang Keke Gai Jing Yu Liehuang Zhu Kim-Kwang Raymond Choo Bin Xiao FedML 38 0 0 20 Oct 2023
Boosting Federated Learning Convergence with Prototype Regularization Yu Qiao Huy Q. Le Choong Seon Hong FedML 37 6 0 20 Jul 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence Yu Qiao M. S. Munir Apurba Adhikary Huy Q. Le Avi Deb Raha Chaoning Zhang Choong Seon Hong 30 28 0 01 Apr 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 170 460 0 01 May 2021