כתבה
arXiv cs.LG ·
FedAlphaEdit: שילוב עריכה קולבורטיבי לעריכת ידע
FedAlphaEdit: Null-Space-Aligned Merging for Collaborative Knowledge Editing
FedAlphaEdit היא פרקטיקה חדשה לעריכת ידע קולבורטיבי, המאפשרת למוסדות שונים לשמור דפדפן גדול של ידע, כולל גמיני ו-GPT-5.
תקציר מקורי באנגליתarXiv:2610.11033v1 Announce Type: cross Abstract: 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-constrained editing methods such as AlphaEdit mathematically guarantee that each update leaves unrelated knowledge intact, while collaborative frameworks such as CollabEdit aggregate edits from multiple clients without data sharing. Combining the two appears trivial. However, we show that this naive combination fails structurally, and we identify its cause. Guided by this analysis, we propose FedAlphaEdit. To our knowledge, this is the first collaborative knowledge editing framework that aligns both local editing and the server-side merging rule under a single null-
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