2 papers
cs.CL2026
FedAlphaEdit: Null-Space-Aligned Merging for Collaborative Knowledge Editing
Sota Sugawara, Yukihiko Okada
Multiple institutions may each hold their own private knowledge edits and wish to integrate them into a single large language model without sharing raw edit requests. Null-space-co…
cs.LG2026
Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
Sota Sugawara, Yuji Kawamata, Akihiro Toyoda +2
Federated Learning (FL) enables distributed learning across multiple clients without sharing raw data. When statistical heterogeneity across clients is severe, Clustered Federated…