Summary of Fed-pilot: Optimizing Lora Assignment For Efficient Federated Foundation Model Fine-tuning, by Zikai Zhang et al.
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuningby Zikai Zhang, Jiahao Xu, Ping…
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuningby Zikai Zhang, Jiahao Xu, Ping…
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Modelsby Jun Luo, Chen Chen,…
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications…
FedECADO: A Dynamical System Model of Federated Learningby Aayushya Agarwal, Gauri Joshi, Larry PileggiFirst submitted…
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholdingby Sofiane Laridi, Gregory Palmer, Kam-Ming…
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learningby Anastasiya Danilenka, Alireza Furutanpey, Victor…
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentivesby Kongyang Chen, Zeming XuFirst…
SoK: Verifiable Cross-Silo FLby Aleksei Korneev, Jan RamonFirst submitted to arxiv on: 11 Oct 2024CategoriesMain:…
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiencyby…
Federated Learning in Practice: Reflections and Projectionsby Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan…