Federated Learning Priorities Under the European Union Artificial Intelligence ActHerbert WoisetschlägerAlexander Erbenet al.2024ICML 2024
A New Theoretical Perspective on Data Heterogeneity in Federated AveragingJiayi WangShiqiang Wanget al.2024ICML 2024
FADAS: Towards Federated Adaptive Asynchronous OptimizationYujia WangShiqiang Wanget al.2024ICML 2024
Erasure Coded Neural Network Inference via Fisher AveragingDivyansh JhunjhunwalaNeharika Jaliet al.2024ISIT 2024
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the UglyHerbert WoisetschlägerAlexander Erbenet al.2024SIGMOD 2024
Taming subnet-drift in D2D-enabled fog learning: a hierarchical gradient tracking approachEvan ChenShiqiang Wanget al.2024INFOCOM 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference OptimizationPengchao HanShiqiang Wanget al.2024INFOCOM 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated AveragingShiqiang WangMingyue Ji2024ICLR 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated LearningDivyansh JhunjhunwalaShiqiang Wanget al.2024AISTATS 2024
Adaptive Model Pruning for Hierarchical Wireless Federated LearningXiaonan LiuShiqiang Wanget al.2024WCNC 2024