Papers
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
Jiamu Bai, Daoyuan Chen, Bingchen Qian et al.
Federated Graph Learning for Cross-Domain Recommendation
Ziqi Yang, Zhaopeng Peng, Zihui Wang et al.
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
Bikang Pan, Wei Huang, Ye Shi
Federated Learning over Connected Modes
Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi, Han Yu, Chao Ren et al.
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
Tong Yang, Shicong Cen, Yuting Wei et al.
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
Fengyu Gao, Ruiquan Huang, Jing Yang
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Zhaomin Wu, Junyi Hou, Yiqun Diao et al.
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
Yuxin Yang, Qiang Li, Yuan Hong et al.
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
Jianqiao Zhang, Caifeng Shan, Jungong Han
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma, Chao Pan, Rasoul Etesami et al.
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
Rui Ye, Rui Ge, Xinyu Zhu et al.
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
Xiang Liu, Liangxi Liu, Feiyang Ye et al.
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu et al.
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li, Xiaoqi Wang, Hong-You Chen et al.
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
Zihan Tan, Guancheng Wan, Wenke Huang et al.
Feedback control guides credit assignment in recurrent neural networks
Klara Kaleb, Barbara Feulner, Juan A. Gallego et al.
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
Mengting Xu, De Ma, HuaJin Tang et al.
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
Junyu Liu, Xiangjun Peng
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
Lisha Chen, AFM Saif, Yanning Shen et al.
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu, Win Kent Ong, Chee Seng Chan et al.
Fetch and Forge: Efficient Dataset Condensation for Object Detection
Ding Qi, Jian Li, Jinlong Peng et al.
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Yiwei Zhou, Xiaobo Xia, Zhiwei Lin et al.
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
Brianna M. Karpowicz, Joel Ye, Chaofei Fan et al.