Systems for Machine Learning RFP

 Facebook is pleased to invite faculty to respond to this call for research proposals in these categories:

• Scalable, elastic, and reliable distributed machine learning and inference
• System and architecture support for personalized recommendation systems
• Programming language and compilers for platform-agnostic machine learning
• Resource provisioning for efficient inference/training in heterogeneous data centers
• On-device training and inference
• System and architecture support for privacy-preserving machine learning
• System support for multi-party compute and private/secure inference
• Emerging technologies, such as near-memory processing and in-memory computing systems applied to machine learning
• Novel machine learning systems beyond neural networks
• Emerging technologies for efficient machine learning

Funding: $100,000 total 

Duration: no fixed limit 

Research Authority due date: 24.10.19