Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning
[Submitted on 16 May 2025 (v1), last revised 9 Oct 2026 (this version, v4)] View PDF HTML (experimental) Abstract:Federated learning…
[Submitted on 16 May 2025 (v1), last revised 9 Oct 2026 (this version, v4)] View PDF HTML (experimental) Abstract:Federated learning…
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:Continual learning (CL) seeks to adapt pretrained models while preserving prior…
[Submitted on 8 Oct 2026] View PDF Abstract:Large language models are becoming central to GeoAI systems, yet their evaluation rarely…
[Submitted on 14 Jul 2026 (v1), last revised 9 Oct 2026 (this version, v4)] View PDF HTML (experimental) Abstract:When a…
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:Vision-language reward models are trained on annotated preference pairs, which are…
[Submitted on 9 May 2026 (v1), last revised 9 Oct 2026 (this version, v4)] Authors:Hongwei Zhang, Qiqiang Zhong, Junfeng Shu,…
[Submitted on 7 Oct 2026 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Large language…
[Submitted on 9 Oct 2026] View PDF HTML (experimental) Abstract:Long-context serving runs out of KV memory before the hardware reaches…
[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:Day-ahead electricity forecasts can help building operators schedule heating, ventilation, and…