Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Modelsby Matias Mendieta, Guangyu Sun,…
Gradient-Congruity Guided Federated Sparse Trainingby Chris Xing Tian, Yibing Liu, Haoliang Li, Ray C.C. Cheung,…
Poisoning Attacks on Federated Learning for Autonomous Drivingby Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel…
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detectionby Ahmad Khalil, Tizian Dege,…
Sharp Bounds for Sequential Federated Learning on Heterogeneous Databy Yipeng Li, Xinchen LyuFirst submitted to…
Recovering Labels from Local Updates in Federated Learningby Huancheng Chen, Haris VikaloFirst submitted to arxiv…
Robust Decentralized Learning with Local Updates and Gradient Trackingby Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh,…
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork…
Quantum Federated Learning Experiments in the Cloud with Data Encodingby Shiva Raj Pokhrel, Naman Yash,…
FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environmentby Afsaneh Mahanipour,…