Author

Song Guo

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#federated learning Nov 2026

Toward Fair Federated Edge Learning Through Prototype-Guided Distributed Adversarial Networks

Federated learning (FL) is a privacy-preserving machine learning (ML) paradigm that can learn models from distributed datasets owned by mobile terminals (MTs). However, ML models usually contain bias on some user groups/sensitive attributes (e.g., gender and race), which poses additional challenges on FL in real-world...

Kang Wei, Xin-Nan Yuan, Zi-Cong Hong et al. · IEEE Transactions on Mobile... · 0 citations

#edge computing Oct 2026

A Holistic Remote Fork Strategy Toward Fast Function Scaling in Serverless Edge Computing

Serverless edge computing, despite its flexibility and efficiency, is hindered by high startup latency during peak load. Remote fork, employing either Checkpoint/Restore (C/R) or Remote Direct Memory Access (RDMA), offers a potential solution for function scaling acceleration. Although RDMA fork is faster, the opportun...

Zhe-Xiong Li, De-Ze Zeng, Lin Gu et al. · IEEE Transactions on Mobile... · 0 citations

Conference Jul 2026

Pegasus: Accelerating Large Language Model Inference with Stateful Prefix Caching

Modern large language model (LLM) inference suffers from severe Time-To-First-Token (TTFT) bottlenecks. Existing prefix KV caching mechanisms are inherently stateless, forcing a trade-off between cross-chunk attention accuracy and online recomputation overhead. To address this issue, we propose Pegasus, a novel statefu...

Fahao Chen, Peng Li, Dongxiao Yu et al. · Fall Joint Computer Conferen... · 0 citations