Summary of Federated Foundation Models on Heterogeneous Time Series, by Shengchao Chen et al.
Federated Foundation Models on Heterogeneous Time Seriesby Shengchao Chen, Guodong Long, Jing Jiang, Chengqi ZhangFirst…
Federated Foundation Models on Heterogeneous Time Seriesby Shengchao Chen, Guodong Long, Jing Jiang, Chengqi ZhangFirst…
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?by Wenjun Ding, Ying…
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentationby Fermin Orozco, Pedro Porto Buarque…
Learn How to Query from Unlabeled Data Streams in Federated Learningby Yuchang Sun, Xinran Li,…
Federated In-Context LLM Agent Learningby Panlong Wu, Kangshuo Li, Junbao Nan, Fangxin WangFirst submitted to…
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learningby Kichang Lee, Jaeho Jin,…
A New Federated Learning Framework Against Gradient Inversion Attacksby Pengxin Guo, Shuang Zeng, Wenhao Chen,…
Hierarchical Split Federated Learning: Convergence Analysis and System Optimizationby Zheng Lin, Wei Wei, Zhe Chen,…
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learningby Weihang Chen, Jie Ren, Zhiqiang Li, Ling…
Sequential Compression Layers for Efficient Federated Learning in Foundational Modelsby Navyansh Mahla, Sunny Gupta, Amit…