activity
20122026
most citedFast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning

418 citations · 445 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Reflection-Driven Self-Improving Language Model Agents for Adaptive RAN Slicing

Yuanhao Li, Haozhe Wang, Geyong Min +2

Adaptive control in AI-native networks remains challenging because tasks such as dynamic Radio Access Network (RAN) slicing require persistent trade-off decisions among spectrum ef…

cs.CR2024

TBDD: A New Trust-based, DRL-driven Framework for Blockchain Sharding in IoT

Zixu Zhang, Guangsheng Yu, Caijun Sun +7

Integrating sharded blockchain with IoT presents a solution for trust issues and optimized data flow. Sharding boosts blockchain scalability by dividing its nodes into parallel sha…

cs.SE2022★ 6 cited

Towards Web3 Applications: Easing the Access and Transition

Guangsheng Yu, Xu Wang, Qin Wang +5

Web3 is leading a wave of the next generation of web services that even many Web2 applications are keen to ride. However, the lack of Web3 background for Web2 developers hinders ea…

cs.LG2021★ 1 cited

Federated Ensemble Model-based Reinforcement Learning in Edge Computing

Jin Wang, Jia Hu, Jed Mills +2

Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that enables collaborative training among geographically distributed and heterogeneous devices…

cs.CR2021★ 19 cited

Capacity Analysis of Public Blockchain

Xu Wang, Wei Ni, Xuan Zha +4

As distributed ledgers, blockchains run consensus protocols which trade capacity for consistency, especially in non-ideal networks with incomplete connectivity and erroneous links.…

cs.NI2021★ 1 cited

Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms

Joseph Billingsley, Ke Li, Geyong Min +1

Data centers are critical to the commercial and social activities of modern society but are also major electricity consumers. To minimize their environmental impact, it is imperati…

cs.DC2020★ 418 cited

Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning

Jin Wang, Jia Hu, Geyong Min +2

Multi-access edge computing (MEC) aims to extend cloud service to the network edge to reduce network traffic and service latency. A fundamental problem in MEC is how to efficiently…

cs.NI2020

Routing-Led Placement of VNFs in Arbitrary Networks

Joseph Billingsley, Ke Li, Wang Miao +2

The ever increasing demand for computing resources has led to the creation of hyperscale datacentres with tens of thousands of servers. As demand continues to rise, new technologie…

cs.DC2012

Securing business operations in an SOA

Theo Dimitrakos, David Brossard, Pierre de Leusse

Service-oriented infrastructures pose new challenges in a number of areas, notably with regard to security and dependability. BT has developed a combination of innovative security…