Junkang Liu

15 papers A* 4Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models. CoRR Jin Liu, Yinbin Miao, Ning Xi, Junkang Liu
2026	A*	`conf`	FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. AAAI Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin
2026	J	`jnl`	FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. CoRR Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong
2026	J	`jnl`	FedNSAM:Consistency of Local and Global Flatness for Federated Learning. CoRR Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu
2026	J	`jnl`	Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models. CoRR Jin Liu, Yinbin Miao, Ning Xi, Junkang Liu
2026	J	`jnl`	Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data. CoRR Junkang Liu, Fanhua Shang, Hongying Liu, Jin Liu, Weixin An, Yuanyuan Liu
2025	A*	`conf`	Consistency of Local and Global Flatness for Federated Learning. ACM Multimedia Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu
2025	J	`jnl`	DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm. CoRR Junkang Liu, Yuxuan Tian, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Junchao Zhou, Ding Daorui
2025	J	`jnl`	FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. CoRR Junkang Liu, Fanhua Shang, Kewen Zhu, Hongying Liu, Yuanyuan Liu, Jin Liu
2025	J	`jnl`	FedMuon: Accelerating Federated Learning with Matrix Orthogonalization. CoRR Junkang Liu, Fanhua Shang, Junchao Zhou, Hongying Liu, Yuanyuan Liu, Jin Liu
2025	J	`jnl`	FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. CoRR Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng
2025	J	`jnl`	ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation. CoRR Junchao Zhou, Junkang Liu, Fanhua Shang
2025	A*	`conf`	Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. ICML Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng
2024	A*	`conf`	FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. ACM Multimedia Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong
2024	—	`conf`	Overview and Prospect of Spiking Neural Networks Training Algorithm. CIPAE Zhongchuan Shi, Junkang Liu, Bolong Zheng