CMSC848Z

Selected Topics in Information Processing; Federated Learning

Reviews for this course Testudo

Cross-listed with ENEE759Z. Principles and applications of federated learning. Federated optimization, statistical and system homogeneity models, variations of federated aggregation, security and privacy considerations, foundation models.

Sister Courses: CMSC848B, CMSC848C, CMSC848D, CMSC848E, CMSC848F, CMSC848G, CMSC848I, CMSC848J, CMSC848K, CMSC848Q

Fall 2024

Ang Li

3 reviews
Average rating: 5.00

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.