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FedEdge-AI@MobiCom 2025: Hong Kong, SAR, China
- Proceedings of the Federated Learning and Edge AI for Privacy and Mobility, FLEdge-AI 2025, Hong Kong, SAR, China, November 4-8, 2025. ACM 2025, ISBN 979-8-4007-1976-9

- Liang Zhao

, Yiwen Zhang
, Sinong Zhang
, Chaojie Gu
, Yujun Yao
, Victor C. M. Leung
:
Collaborative Offloading and 3D Trajectory Design in Multi-UAV-assisted MEC Networks for Emergency Rescue. 1-3 - Shan-cang Li

, Shanshan Zhao
, Yongjian Ding
:
FedPETv1: Edge-Aware Federated Learning with Differential Privacy for Distributed Medical Diagnostics. 4-7 - Hanxiao Shi

, Qianru Wang
, Qingyang Li
, Hui Li
, Jiangtao Cui
:
FLATTN: Bridging Temporal Resolution Disparities via Attention Alignment in Federated Distillation for Human Activity Recognition. 8-15 - Lingyu Qiu

, Daniela Annunziata
, Fabio Giampaolo
, Francesco Piccialli
:
Deciphering One-Shot Federated Learning: The Pivotal Role of Pretrained Models. 16-22 - Pi-Wei Chen

, Naveen Sharma
, Rafal Cupek
, Marek Drewniak
, Zih-Ching Chen
, Jerry Chun-Wei Lin
:
FedAGV: Federated Meta-Learning for Rapid Adaptation of AGV Trajectory Planing. 23-29 - Gianluca Dalmasso

, Pedro Porto Buarque de Gusmão
, Attilio Fiandrotti
, Marco Grangetto
:
Efficient Federated Model Aggregation through Neural Velocity. 30-36 - Eunju Jeong

, Dong-oh Kang
:
AROM: Control-Theoretic Learning for Resilient and Decentralized Edge Intelligence. 37-43 - Dariusz Marek

, Jakub Szygula
, Piotr Biernacki
, Marcin Paszkuta
, Adam Domanski
, Marcin Fojcik
, Marta Szczygiel
, Konrad Wojciechowski
:
Neural Tuning of Parameters in a Collision Avoidance Mechanism for Swarms of Drones. 44-51 - Joyce Yuan

, Brian Le
, Kathryn Le
, Yichuan Shi
, Abhishek Singh
, Rishi Sharma
, Angel Patricio
, Ramesh Raskar
:
SONAR Web: A Platform-Agnostic Framework for Real-Time Decentralized Learning Across Heterogeneous Edge Clients. 52-58 - Yui Yamashita

, Akihito Taya
, Yoshito Tobe
:
Robust Inference under Modality Missing in Multimodal Split Learning. 59-65 - Christoph Düsing

, Philipp Cimiano
:
Towards Lightweight Input Control for Cross-Device Federated Learning With Dynamic Participation. 66-69 - Pham Duy Thanh

, Tran Anh Khoa
, Minh-Son Dao
, Koji Zettsu
:
Scalable Federated Split Learning for Smart Mobile and IoT Devices. 70-76 - Navidreza Asadi

, Halil Ibrahim Bengu
, Lars Wulfert
, Hendrik Wöhrle
, Wolfgang Kellerer
:
Gist - Optimizing Segmentation for Decentralized Federated Learning on Tiny Devices. 77-84 - Yinan Zhang

, Jiannong Cao
, Mingjin Zhang
, Ruosong Yang
:
FedHO: Memory-Efficient Federated Fine-Tuning for Large Models via Hybrid Gradient Computation. 85-92

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