Federated Skill Sharing

Federated sharing of skill templates while keeping private context local. MLSys 2027 submission.

Federated Skill Sharing for LLM Agents

Summer 2026 – Present

Advisors: Dr. Ali R. Butt (Virginia Tech) and Dr. Ahmad Faraz Khan (Google)

Developing a federated framework where clients share reusable skill templates and generalized reasoning patterns through a global indexed library while keeping private context and final adaptation local.

Impact: Submission at MLSys 2027.

(Khan & others, 2027)

References

2027

MLSys
Federated Skill Sharing for LLM Agents

Saman Bahzad Khan and others

In Conference on Machine Learning and Systems (MLSys), 2027

Under Submission

Abs Bib HTML

A federated framework in which clients share reusable skill templates and generalized reasoning patterns through a global indexed library while keeping private context and final adaptation local.
@inproceedings{khan2026federated, title = {Federated Skill Sharing for LLM Agents}, author = {Khan, Saman Bahzad and others}, booktitle = {Conference on Machine Learning and Systems (MLSys)}, year = {2027}, note = {Under Submission}, }