Oral
- Federated Learning with Graph-Based Aggregation for Traffic Forecasting. Renata Dividino, Glaucio H.S. de Carvalho, Audri Banik
- FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning. Arno Geimer, Beltran Fiz, Radu State
- Federated Submodular Maximization: Improved Communication Rounds and Bit Complexity. Sreeharsh Namani, Neophytos Charalambides, Akbar Rafiey
Poster
- Class-Granular Attacks and Robust Defense in Federated Learning. Md Faisal Ahmed, Zhuangdi Zhu, Zhengdao Wang
- Hierarchical Federated Unlearning for Large Language Models. Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu
- Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning. Ignacy Stępka, Nicholas Gisolfi, Kacper Trębacz, Artur Dubrawski
- FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data. WenHao Wang, Zijie Yu, Rui Ye, Jianqing Zhang, Guangyi Liu, Liang Liu, Siheng Chen, Yanfeng Wang
- FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing. Haodong Zhao, Peng Peng, Chiyu Chen, Linqing Huang, Gongshen Liu
- Privacy-Enhancing Paradigms for Federated Multi-Agent Systems. Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang
