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cs.LG2026
Federated Personalization of Early-Exit Networks
Boyi Liu, Zimu Zhou, Cheng Fang +1
Personalized Federated Learning (PFL) excels at tailoring client-specific models, which is particularly critical for decentralized and heterogeneous data environments, yet existing…
cs.LG2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu, Jinliang Deng, Lulu Zhang +2
Accurate and efficient multivariate time series (MTS) forecasting is essential for applications such as traffic management and weather prediction, which depend on capturing long-ra…
cs.LG2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
Shuyue Wei, Yongxin Tong, Zimu Zhou +2
Federated learning paradigm to utilize datasets across multiple data providers. In FL, cross-silo data providers often hesitate to share their high-quality dataset unless their dat…