WE1.R2.3

Computation Selection: Scheduling Users to Enable Over-the-Air Federated Learning

Bobak Nazer, Boston University, United States; Krishna Narayanan, Texas A&M University, United States
Session:
Federated Learning
Track:
15: Distributed and Federated Learning
Location:
Ypsilon I-II-III
Presentation Time:
Wed, 10 Jul, 10:30 - 10:50
Session Chair:
Lav Varshney, University of Illinois Urbana-Champaign
Presentation
Not logged in.
Discussion
Not logged in.
Session WE1.R2
WE1.R2.1: Federated Learning via Lattice Joint Source-Channel Coding
Seyed Mohammad Azimi-Abarghouyi, KTH Royal Institute of Technology, Sweden; Lav R. Varshney, University of Illinois Urbana-Champaign, United States
WE1.R2.2: Hierarchical Federated Learning: The Interplay of User Mobility and Data Heterogeneity
Wei Dong, Zhejiang University, China; Chenyuan Feng, EURECOM, France, France; Chen Sun, Sony (China) Research Laboratory, China; Howard H. Yang, Zhejiang University, China
WE1.R2.3: Computation Selection: Scheduling Users to Enable Over-the-Air Federated Learning
Bobak Nazer, Boston University, United States; Krishna Narayanan, Texas A&M University, United States
WE1.R2.4: Causal Impact Analysis for Asynchronous Decision Making
Mert Kayaalp, Yunus Inan, École Polytechnique Fédérale de Lausanne, Switzerland; Visa Koivunen, Aalto University, Finland; Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland
Resources
No resources available.