8 citations · 15 across the 6 of their papers we have counts for
6 papers
A Communication Efficient Quasi-Newton Method for Large-scale Distributed Multi-agent Optimization
Yichuan Li, Petros G. Voulgaris, Nikolaos M. Freris
We propose a communication efficient quasi-Newton method for large-scale multi-agent convex composite optimization. We assume the setting of a network of agents that cooperatively…
Analogue Radio over Fiber aided Multi-service Communications for High Speed Trains
Yichuan Li, Salman Ghafoor, Mohammed El-Hajjar
High speed trains (HST) have gradually become an essential means of transportation, where given our digital world, it is expected that passengers will be connected all the time. Mo…
Analogue Radio Over Fiber for Next-Generation RAN: Challenges and Opportunities
Yichuan Li, Qijie Xie, Mohammed El-Hajjar +1
The radio access network (RAN) connects the users to the core networks, where typically digitised radio over fiber (D-RoF) links are employed. The data rate of the RAN is limited b…
Fuzzy-Depth Objects Grasping Based on FSG Algorithm and a Soft Robotic Hand
Hanwen Cao, Junda Huang, Yichuan Li +2
Autonomous grasping is an important factor for robots physically interacting with the environment and executing versatile tasks. However, a universally applicable, cost-effective,…
BFGS-ADMM for Large-Scale Distributed Optimization
Yichuan Li, Yonghai Gong, Nikolaos M. Freris +2
We consider a class of distributed optimization problem where the objective function consists of a sum of strongly convex and smooth functions and a (possibly nonsmooth) convex reg…
DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization
Yichuan Li, Nikolaos M. Freris, Petros Voulgaris +1
In a multi-agent network, we consider the problem of minimizing an objective function that is expressed as the sum of private convex and smooth functions, and a (possibly) non-diff…