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cs.LG2026
Jointly Optimizing Memory, Computing and Offloading for Energy-Efficient DNN Inference
Yunchu Han, Zhaojun Nan, Sheng Zhou +1
In edge intelligence systems, computation offloading and dynamic voltage and frequency scaling (DVFS) are widely used to improve energy efficiency. However, as applications like de…
cs.LG2026
FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels
Jintao Yan, Tan Chen, Yuxuan Sun +2
Vehicular federated learning (VFL) enables privacy-preserving collaborative model training for intelligent transportation systems, where communication resource allocation and gradi…
cs.LG2026
Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning
Yuxuan Sun, Yuxuan Bai, Tan Chen +2
Federated continual learning (FCL) enables shared global models to continuously adapt to distributed and non-stationary data streams, making it important for Internet of Things app…