output
20182026
most citedClient Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

1.6k citations

29 papers

cs.AI2026

Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents

Vasileios Rizeakos, Georgios Paisios, Alexandros Machairas +2

On-premise assistants can give factory workers conversational access to machine documentation, but models capable of the task rarely fit shop-floor hardware. We show that after str…

cs.RO2025★ 1 cited

PLEXUS Hand: Lightweight Four-Motor Prosthetic Hand Enabling Precision-Lateral Dexterous Manipulation

Yuki Kuroda, Tomoya Takahashi, Cristian C Beltran-Hernandez +2

Electric prosthetic hands should be lightweight to decrease the burden on the user, shaped like human hands for cosmetic purposes, and have motors inside to protect them from damag…

cs.LG2025

Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery

Shiji Zhou, Tianbai Yu, Zhi Zhang +4

Machine unlearning (MU) aims to efficiently remove sensitive or harmful memory from a pre-trained model. The key challenge is to balance the potential tradeoff between unlearning e…

cs.LG2025

PAC-Bayesian Reinforcement Learning Trains Generalizable Policies

Abdelkrim Zitouni, Mehdi Hennequin, Juba Agoun +3

We derive a novel PAC-Bayesian generalization bound for reinforcement learning that explicitly accounts for Markov dependencies in the data, through the chain's mixing time. This c…

cs.HC2025★ 2 cited

Cooperative Design Optimization through Natural Language Interaction

Ryogo Niwa, Shigeo Yoshida, Yuki Koyama +1

Designing successful interactions requires identifying optimal design parameters. To do so, designers often conduct iterative user testing and exploratory trial-and-error. This inv…

cs.RO2025

KeyMPs: One-Shot Vision-Language Guided Motion Generation by Sequencing DMPs for Occlusion-Rich Tasks

Edgar Anarossi, Yuhwan Kwon, Hirotaka Tahara +6

Dynamic Movement Primitives (DMPs) provide a flexible framework wherein smooth robotic motions are encoded into modular parameters. However, they face challenges in integrating mul…