8 citations · 14 across the 6 of their papers we have counts for
7 papers
Mitigating Group Bias in Federated Learning: Beyond Local Fairness
Ganghua Wang, Ali Payani, Myungjin Lee +1
The issue of group fairness in machine learning models, where certain sub-populations or groups are favored over others, has been recognized for some time. While many mitigation st…
Flame: Simplifying Topology Extension in Federated Learning
Harshit Daga, Jaemin Shin, Dhruv Garg +3
Distributed machine learning approaches, including a broad class of federated learning (FL) techniques, present a number of benefits when deploying machine learning applications ov…
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
Alind Khare, Animesh Agrawal, Aditya Annavajjala +4
Neural Architecture Search (NAS) for Federated Learning (FL) is an emerging field. It automates the design and training of Deep Neural Networks (DNNs) when data cannot be centraliz…
Adaptive Deep Neural Network Inference Optimization with EENet
Fatih Ilhan, Ka-Ho Chow, Sihao Hu +9
Well-trained deep neural networks (DNNs) treat all test samples equally during prediction. Adaptive DNN inference with early exiting leverages the observation that some test exampl…
Approximate Edge Analytics for the IoT Ecosystem
Zhenyu Wen, Do Le Quoc, Pramod Bhatotia +2
IoT-enabled devices continue to generate a massive amount of data. Transforming this continuously arriving raw data into timely insights is critical for many modern online services…
Fault Localization in Large-Scale Network Policy Deployment
Praveen Tammana, Chandra Nagarajan, Pavan Mamillapalli +2
The recent advances in network management automation and Software-Defined Networking (SDN) are easing network policy management tasks. At the same time, these new technologies crea…
AMP: A Better Multipath TCP for Data Center Networks
Morteza Kheirkhah, Myungjin Lee
In recent years several multipath data transport mechanisms, such as MPTCP and XMP, have been introduced to effectively exploit the path diversity of data center networks (DCNs). H…