242 citations · 1.2k across the 37 of their papers we have counts for
6 papers · 1 filter
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis +1
This paper deals with distributed policy optimization in reinforcement learning, which involves a central controller and a group of learners. In particular, two typical settings en…
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability
Tianyi Chen, Sergio Barbarossa, Xin Wang +2
Internet-of-Things (IoT) envisions an intelligent infrastructure of networked smart devices offering task-specific monitoring and control services. The unique features of IoT inclu…
Bandit Online Learning with Unknown Delays
Bingcong Li, Tianyi Chen, Georgios B. Giannakis
This paper deals with bandit online learning problems involving feedback of unknown delay that can emerge in multi-armed bandit (MAB) and bandit convex optimization (BCO) settings.…
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun +1
This paper presents a new class of gradient methods for distributed machine learning that adaptively skip the gradient calculations to learn with reduced communication and computat…
Secure Mobile Edge Computing in IoT via Collaborative Online Learning
Bingcong Li, Tianyi Chen, Georgios B. Giannakis
To accommodate heterogeneous tasks in Internet of Things (IoT), a new communication and computing paradigm termed mobile edge computing emerges that extends computing services from…
Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining
Xiaojing Chen, Wei Ni, Tianyi Chen +4
Network Function Virtualization (NFV) can cost-efficiently provide network services by running different virtual network functions (VNFs) at different virtual machines (VMs) in a c…