KNOWLEDGE BASED SYSTEMS INC — Department of Defense SBIR Phase I: MDA21-020
KNOWLEDGE BASED SYSTEMS INC — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $150,000. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code MDA21-020 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $150,000
- Agency
- Department of Defense · Missile Defense Agency
- Program / Phase
- SBIR · Phase I
- Topic
- MDA21-020
- Solicitation
- 21.2
- NAICS
- —
- Place of performance
- TX
- Period
- 2021-12-06 → 2022-06-05
Description
Knowledge Based Systems, Inc. (KBSI) proposes to extend the federated learning (FL) architecture to support flexible and integrated interceptor discrimination and decision making. Specifically, KBSI will research, design, and demonstrate the Federated Learning based Cooperative Sensing for Efficient Threat Detection (FedSense) framework that allows models that are learnt locally at terminal nodes to be efficiently shared, transformed and accepted as whole or in part based on the quality and value offered by each model. The accepted heterogenous models are then fused together into an integrated model using federated transfer learning method. The FedSense methods helps to learn from terminal nodes (sensors) with large volumes of data and helps to boost the performance of terminal node which has limited amount of training data. Approved for Public Release | 21-MDA-11013 (19 Nov 21)