3 papers
cs.DC2026
MixServe: An Automatic Distributed Serving System for MoE Models with Hybrid Parallelism Based on Fused Communication Algorithm
Bowen Zhou, Jinrui Jia, Wenhao He +2
The Mixture of Experts (MoE) models are emerging as the latest paradigm for Large Language Models (LLMs). However, due to memory constraints, MoE models with billions or even trill…
cs.RO2026
Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
Jiangyi Fang, Bowen Zhou, Haotian Wang +2
Online 3D Bin Packing (3D-BP) with robotic arms is crucial for reducing transportation and labor costs in modern logistics. While Deep Reinforcement Learning (DRL) has shown strong…
cs.LG2025
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning
Qingming Li, Juzheng Miao, Puning Zhao +5
In federated learning, client selection is a critical problem that significantly impacts both model performance and fairness. Prior studies typically treat these two objectives sep…