WA3b.3

Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting

Muhammad Faraz Ul Abrar, Nicolò Michelusi, Arizona State University, United States; Erik G. Larsson, Linköping University, Sweden
Session:
WA3b: New Directions in Decentralized Learning Lecture
Track:
Networks and Graphs
Location:
Room 3
Presentation Time:
Wed, 28 Oct, 11:05 - 11:30 PT (UTC -7)
Session Co-Chairs:
Nicolo Michelusi, Arizona State University, United States and Erik G. Larsson, Linköpings Universitet, Sweden
Presentation
Discussion
Resources
No resources available.
Session WA3b
WA3b.1: A hypergraph-based nuclear norm regularization for decentralized multitask learning
Gustavo Faia Fagundes, Cédric Richard, Roula Nassif, Université Côte d'Azur, France
WA3b.2: Create, Duplicate, or Be Eaten: Random-Walk Learning vs. the Pac-Man Attack
Xingran Chen, Singapore University of Technology and Design, Singapore; Rohit Bhagat, Rutger University, United States; Parimal Parag, Indian Institute of Science, India; Salim El Rouayheb, Rutgers University, United States
WA3b.3: Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting
Muhammad Faraz Ul Abrar, Nicolò Michelusi, Arizona State University, United States; Erik G. Larsson, Linköping University, Sweden
Contacts