Summary of Federated Large Language Models: Current Progress and Future Directions, by Yuhang Yao et al.
Federated Large Language Models: Current Progress and Future Directionsby Yuhang Yao, Jianyi Zhang, Junda Wu,…
Federated Large Language Models: Current Progress and Future Directionsby Yuhang Yao, Jianyi Zhang, Junda Wu,…
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketchby Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan,…
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networksby Omid Tavallaie, Kanchana Thilakarathna, Suranga Seneviratne,…
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clippingby Jiaxing Li,…
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learningby Minyeong Choe, Cheolhee Park,…
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialistsby Dongyang Fan, Bettina Messmer,…
Recovering Global Data Distribution Locally in Federated Learningby Ziyu YaoFirst submitted to arxiv on: 21…
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issueby David Brunner, Alessio MontuoroFirst…
Noise-Robust and Resource-Efficient ADMM-based Federated Learningby Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan WernerFirst…
Global Outlier Detection in a Federated Learning Setting with Isolation Forestby Daniele Malpetti, Laura AzzimontiFirst…