Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learningby Ali Forootani, Raffaele IervolinoFirst submitted…
Exploiting Label Skewness for Spiking Neural Networks in Federated Learningby Di Yu, Xin Du, Linshan…
Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Predictionby Yuying Wang, Yichen Li, Haozhao Wang, Lei…
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learningby Chamani Shiranthika, Hadi Hadizadeh, Parvaneh…
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networksby Qian Chen, Xianhao Chen, Kaibin…
FedCross: Intertemporal Federated Learning Under Evolutionary Gamesby Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao,…
Data value estimation on private gradientsby Zijian Zhou, Xinyi Xu, Daniela Rus, Bryan Kian Hsiang…
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimationby Jonggyu Jang, Hyeonsu Lyu, David J. Love,…
FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigationby Chenguang Xiao, Zheming Zuo, Shuo…
Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Gameby Sebastian Niehaus, Ingo…