4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Kaiyi Ji
Federated bilevel optimization (FBO) has shown great potential recently in machine learning and edge computing due to the emerging nested optimization structure in meta-learning, f…
cs.LG2023★ 2 cited
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao, Hao Ban, Kaiyi Ji
Multi-objective optimization (MOO) has become an influential framework in many machine learning problems with multiple objectives such as learning with multiple criteria and multi-…
cs.LG2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Peiyao Xiao, Kaiyi Ji
Federated bilevel optimization has attracted increasing attention due to emerging machine learning and communication applications. The biggest challenge lies in computing the gradi…