Papers
FedABC: Targeting Fair Competition in Personalized Federated Learning
Dui Wang, Li Shen, Yong Luo et al.
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang, Yang Hua, Hao Wang et al.
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
Zuobin Xiong, Wei Li, Zhipeng Cai
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long et al.
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
Junyuan Hong, Haotao Wang, Zhangyang Wang et al.
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability
Zheng Wang, Xiaoliang Fan, Jianzhong Qi et al.
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces
Mengfei Xia, Yezhi Shu, Yuji Wang et al.
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
Zibin Pan, Shuyi Wang, Chi Li et al.
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
Xueyang Wu, Hengguan Huang, Youlong Ding et al.
FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation
Jae-hun Shim, Hyunwoo Yu, Kyeongbo Kong et al.
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
Canyu Zhang, Zhenyao Wu, Xinyi Wu et al.
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
Junda Wu, Rui Wang, Handong Zhao et al.
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Yuxuan Duan, Yan Hong, Li Niu et al.
Few-Shot Object Detection via Variational Feature Aggregation
Jiaming Han, Yuqiang Ren, Jian Ding et al.
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Kelong Mao, Jieming Zhu, Liangcai Su et al.
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Zhiyu Pan, Yinpeng Chen, Jiale Zhang et al.
Finding Fair Allocations under Budget Constraints
Siddharth Barman, Arindam Khan, Sudarshan Shyam et al.
Finding Good Partial Assignments during Restart-Based Branch and Bound Search
Hongbo Li, Jimmy H.M. Lee
Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion
Zuchao Li, Ruhan Gong, Yineng Chen et al.
Fine-Grained Retrieval Prompt Tuning
Shijie Wang, Jianlong Chang, Zhihui Wang et al.
Finite Based Contraction and Expansion via Models
Ricardo Guimarães, Ana Ozaki, Jandson S. Ribeiro
Fisher Markets with Social Influence
Jiayi Zhao, Denizalp Goktas, Amy Greenwald
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering
Qichen Ye, Bowen Cao, Nuo Chen et al.
Fixed-Weight Difference Target Propagation
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami et al.
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
Shengchao Liu, David Vazquez, Jian Tang et al.