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cs.LG2025
Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
Zixiao Huang, Jixiao Yang, Sijia Li +3
This study proposes a unified forecasting framework for high-dimensional multi-task time series to meet the prediction demands of cloud native backend systems operating under highl…
cs.LG2025
Cost-TrustFL: Cost-Aware Hierarchical Federated Learning with Lightweight Reputation Evaluation across Multi-Cloud
Jixiao Yang, Jinyu Chen, Zixiao Huang +3
Federated learning across multi-cloud environments faces critical challenges, including non-IID data distributions, malicious participant detection, and substantial cross-cloud com…
cs.LG2024★ 1 cited
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
Bobby Chen, Siyu Chen, Jason Dowlatabadi +15
Budget allocation of marketplace levers, such as incentives for drivers and promotions for riders, has long been a technical and business challenge at Uber; understanding lever bud…