49 citations · 103 across the 21 of their papers we have counts for
21 papers
Unified AI Gateway: A Framework for Joint Model Routing and KV Cache Management
Jiaxun Lu, Xiang Zhang, Yunfeng Shao
Large language model (LLM) inference increasingly spans models that differ in size, capability, price, and provider. This shift creates two costs for developers. One is the integra…
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li, Jiaxun Lu, Shuang Luo +6
In federated learning (FL), clients may have diverse objectives, and merging all clients' knowledge into one global model will cause negative transfer to local performance. Thus, c…
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Shuo Wan, Jiaxun Lu, Pingyi Fan +3
Federated learning (FL) has recently emerged as a transformative paradigm that jointly train a model with distributed data sets in IoT while avoiding the need for central data coll…
Unified Group Fairness on Federated Learning
Fengda Zhang, Kun Kuang, Yuxuan Liu +6
Federated learning (FL) has emerged as an important machine learning paradigm where a global model is trained based on the private data from distributed clients. However, most of e…
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Shuo Wan, Jiaxun Lu, Pingyi Fan +3
Federated learning (FL) has recently emerged as an important and promising learning scheme in IoT, enabling devices to jointly learn a model without sharing their raw data sets. Ho…
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Mobile edge computing (MEC) has been considered as a promising technique for internet of things (IoT). By deploying edge servers at the proximity of devices, it is expected to prov…
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Heavy data load and wide cover range have always been crucial problems for online data processing in internet of things (IoT). Recently, mobile-edge computing (MEC) and unmanned ae…
Towards Big data processing in IoT: network management for online edge data processing
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Heavy data load and wide cover range have always been crucial problems for internet of things (IoT). However, in mobile-edge computing (MEC) network, the huge data can be partly pr…
Model change detection with application to machine learning
Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli
Model change detection is studied, in which there are two sets of samples that are independently and identically distributed (i.i.d.) according to a pre-change probabilistic model…
Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
The minor probability events detection is a crucial problem in Big data. Such events tend to include rarely occurring phenomenons which should be detected and monitored carefully.…
Active and Adaptive Sequential learning
Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli
A framework is introduced for actively and adaptively solving a sequence of machine learning problems, which are changing in bounded manner from one time step to the next. An algor…
Semi-centralized control for multi-robot formation and theoretical lower bound
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Multi-robot formation control enables robots to cooperate as a working group in completing complex tasks, which has been widely used in both civilian and military scenarios. Before…
Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations
Jiaxun Lu, Shuo Wan, Xuhong Chen +3
This work considers the placement of unmanned aerial vehicle base stations (UAV-BSs) with criterion of minimum UAV-recall-frequency (UAV-RF), indicating the energy efficiency of mo…
Energy-efficient 3D UAV-BS Placement Versus Mobile Users' Density and Circuit Power
Jiaxun Lu, Shuo Wan, Xuhong Chen +1
Properly 3D placement of unmanned aerial vehicle mounted base stations (UAV-BSs) can effectively prolong the life-time of the mobile ad hoc network, since UAVs are usually powered…
Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for High Speed Train Communication
Xuhong Chen, Jiaxun Lu, Tao Li +2
High-mobility adaption and massive Multiple-input Multiple-output (MIMO) application are two primary evolving objectives for the next generation high speed train (HST) wireless com…
Toward Traffic Patterns in High-speed Railway Communication Systems: Power Allocation and Antenna Selection
Jiaxun Lu, Ke Xiong, Xuhong Chen +1
In high-speed railway (HSR) communication systems, distributed antenna is usually employed to support frequent handover and enhance the signal to noise ratio to user equipments. In…
Massive MIMO Beam-forming for High Speed Train Communication: Directivity vs Beamwidth
Xuhong Chen, Jiaxun Lu, Pingyi Fan
High-mobility adaption and massive Multiple-input Multiple-output (MIMO) application are two primary evolving objectives for the next generation high speed train communication syst…
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures
Shanyun Liu, Rui She, Jiaxun Lu +1
Shannon entropy is the most crucial foundation of Information Theory, which has been proven to be effective in many fields such as communications. Renyi entropy and Chernoff inform…
Location-aware ICI Reduction in MIMO-OFDM Downlinks for High-speed Railway Communication Systems
Jiaxun Lu, Xuhong Chen, Shanyun Liu +1
High mobility may destroy the orthogonality of subcarriers in OFDM systems, resulting in inter- carrier interference (ICI), which may greatly reduce the service quantity of high-sp…
Message Importance Measure and Its Application to Minority Subset Detection in Big Data
Pingyi Fan, Yunquan Dong, Jiaxun Lu +1
Message importance measure (MIM) is an important index to describe the message importance in the scenario of big data. Similar to the Shannon Entropy and Renyi Entropy, MIM is requ…
Subcarrier grouping with environmental sensing for MIMO-OFDM systems over correlated double-selective fading channels
Jiaxun Lu, Zhengchuan Chen, Pingyi Fan +1
With the increase of physical antenna and subcarrier numbers in MIMO-OFDM systems, channel side information feedback amount and signal precoding complexity overburden will consume…