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09/18/2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Federated training of Graph Neural Networks (GNN) has become popular in ...
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08/29/2023
Comverse: A Federative-by-Design Platform for Community Computing
Communities, ranging from homes to cities, are a ubiquitous part of our ...
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03/01/2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
Graph neural networks (GNN) have been widely deployed in real-world netw...
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02/20/2023
Programmable System Call Security with eBPF
System call filtering is a widely used security mechanism for protecting...
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05/31/2022
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy
Node embedding aims to map nodes in the complex graph into low-dimension...
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04/29/2022
Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
With the advancement of deep learning techniques, major cloud providers ...
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04/21/2022
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
Conventional model quantization methods use a fixed quantization scheme ...
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03/16/2022
Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance
The exponentially large discrete search space in mixed-precision quantiz...
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03/02/2022
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction
As industrial systems become more complex and monitoring sensors for eve...
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07/23/2018
