| 1 | AI in the EGI e-infrastructure -- Past experiences and future strategies | Gergely Sipos, Sergio Andreozzi, Marco Rorro +2 | cs.DC | 2026-10-29 |
| 2 | CovFedAvg: Local Low-Loss Curves and Federated Model Selection | Federico Lucchetti, Marcus Völp | cs.LG | 2026-10-29 |
| 3 | Adaptive Federated Optimization Across Smooth and Nonsmooth Regimes | Zimeng Wang, Ali Dadras, Alp Yurtsever | math.OC | 2026-10-29 |
| #4 | Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection | Muhammad Uzair Shahid, Muhammad Zabil Mehboob | cs.AI | 2026-10-29 |
| #5 | More Is Better? Exploring Latent Correspondence in Federated Hypergraph Learning | Bo Yan, Siming Zhang, Siqi Li +1 | cs.LG | 2026-10-29 |
| #6 | DICE: Decentralized Incentive-driven Federated Learning for Efficient & Scalable Customization of Pretrained Models in Web3 | Hong Lin, Zhongle Xie, Lidan Shou +2 | cs.CR | 2026-10-29 |
| #7 | Fed-IGTD: A federated learning-based framework for tabular-to-image encoding | David Chushig-Muzo, Eva Milara, Francisco J. Lara Abelenda +2 | cs.LG | 2026-10-28 |
| #8 | Communication-Efficient Clustered Federated Learning in Non-IID Wireless Networks | Martin Isaksson, Rickard Cöster, Šarūnas Girdzijauskas +1 | cs.LG | 2026-10-28 |
| #9 | Trustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and Robustness | Long Dang, Ali Alfatemi, Kaiqi Xiong +4 | cs.CR | 2026-10-28 |
| #10 | On the Generalization Gap of Streaming Federated Learning with Markovian Data | Masoud Kavian, Milad Sefidgaran, Youssef Attia El Hili +2 | cs.LG | 2026-10-28 |
| #11 | Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AI | Kiranmayee Janardhan, Karthick S, Madhusmita Panda +2 | cs.AI | 2026-10-28 |
| #12 | Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging | Paul Kurian, Tamoghna Chattopadhyay, Abhijith Shaji +3 | cs.LG | 2026-10-28 |
| #13 | Federated Learning for Semantic Communications over Multiple Access Channels | Yalin E. Sagduyu, Tugba Erpek, Yi Shi | cs.IT | 2026-10-27 |
| #14 | Split Federated Unlearning | Jia Chen, Yecheng Lv, Xinrong Hu +2 | cs.LG | 2026-10-27 |
| #15 | Evaluating Federated Vision-Language and Vision-Only Models for Privacy-Aware Breast Cancer Imaging | Malithi Mithsara Wanniarachchi Kankanamge, Ning Yang, Sree Bash Debnath +2 | cs.CV | 2026-10-26 |
| #16 | Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization | Shreya Meel, Sennur Ulukus, Itzhak Tamo | cs.IT | 2026-10-26 |
| #17 | SCAFFOLD under Hessian Similarity: Sharp Convergence Rates | Zhirayr Tovmasyan, Slavomír Hanzely, Egor Shulgin +2 | cs.LG | 2026-10-26 |
| #18 | Beyond Federated Learning: Decentralized Agentic Systems for Self-Evolving Clinical Intelligence | Haoyuan Li, Mathias Funk, Aaqib Saeed | cs.AI | 2026-10-26 |
| #19 | Pricing Cross-Bank Context in Federated Anti-Money Laundering | Lidia Losavio, Dario Fenoglio, Martin Gjoreski +1 | cs.CR | 2026-10-26 |
| #20 | Satellite Intelligence: Distributed Training, Collaborative Inference,and LLM Adaptation in LEO Constellation | Zheng Lin, Zhanwei Wang, Yuxin Zhang +9 | cs.NI | 2026-10-26 |
| #21 | Self-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs | José Sanz-Durán, David Solís-Martín | cs.AI | 2026-10-26 |
| #22 | One-Shot Federated Model Editing for Device Dynamics at the Edge | Youming Tao, Weijun Yin, Huanyi Xie +5 | cs.LG | 2026-10-26 |
| #23 | Efficient Exact Unlearning for Federated Zeroth-Order Optimization | Weijun Yin, Yanqing Yao, Falko Dressler +2 | cs.LG | 2026-10-26 |
| #24 | Fed-MAPTrack: Federated Modality-aware Prompt Tuning for RGB-X Tracking | Xiangyu Liu, Yijie Shen, Yue Yin +3 | cs.CV | 2026-10-26 |
| #25 | Movable-Element Multi-Functional RIS-Assisted Hybrid RSMA-NOMA: A Constrained Hybrid Reinforcement Learning Approach | Li-Hsiang Shen, Chi-Te Kuo | cs.AI | 2026-10-26 |
| #26 | Task Relevance-Driven Prompt Expansion for Federated Continual Learning | Jiahua Dong, Wenqi Liang, Yang Cong +6 | cs.CV | 2026-10-25 |
| #27 | Fed-Universe: A Semantic-Geometric-Topological-Human (S-G-T-H) Stack for Negotiated Alignment in Federated Systems | Ting Xu, Henry Leung | cs.AI | 2026-10-25 |
| #28 | Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy | Thibault Pautrel, Florent Bouchard, Guillaume Ginolhac +2 | stat.ML | 2026-10-24 |
| #29 | Geodesic-SVDD Latent Mixup for One-Shot Distributed Tabular Learning | Andrea Moleri, Christian Internò, Markus Olhofer +2 | cs.LG | 2026-10-24 |
| #30 | FedSEAM: Federated Continual Learning of LLMs via Subspace Expert Agreement Merging | Fatema Siddika, Abhijit Chunduru, Zilinghan Li +2 | cs.LG | 2026-10-24 |
| #31 | Faithful Federated Tabular Data Synthesis | Zilong Cao, Hai Zhang, Xuan Bi | cs.LG | 2026-10-24 |
| #32 | When Human Corrections Travel: Safety in Federated VLA Adaptation | Vigneshwaran Subbaraju, Obaidullah Zaland, Monowar Bhuyan | cs.RO | 2026-10-23 |
| #33 | Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks | Yalin E. Sagduyu, Tugba Erpek, Nathan Stephenson +1 | cs.NI | 2026-10-23 |
| #34 | Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead | Ziyue Luo, Jiaxuan Cai, Cedric LeDenmat +27 | cs.DC | 2026-10-23 |
| #35 | Federated Nonparametric Regression with Heterogeneous Clients | Xiaoran Jiang, Anand N. Vidyashankar | stat.ML | 2026-10-23 |
| #36 | Evolving Federated Density Peak Clustering with Shuffler-Based Anonymization | Miha Ožbot, Seiichi Ozawa, Igor Škrjanc | cs.LG | 2026-10-22 |
| #37 | Is High Local Accuracy Enough? Geometric Consensus with Support-Adaptive Statistical Personalization for Federated Learning | Junyu Lin, Bosong Qi, Pengcheng Shi +1 | cs.LG | 2026-10-22 |
| #38 | Federated Differentially Private Optimization via Low-Rank Preconditioning | Antti Koskela, Tejas Kulkarni, Elias Raninen | cs.LG | 2026-10-22 |
| #39 | Federated Graph Retrieval-Augmented Generation | Xiaobao Wang, Renda Han, Zhiliang Xia +3 | cs.LG | 2026-10-22 |
| #40 | One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement | Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1 | cs.CV | 2026-10-22 |
| #41 | FedBST: Bilateral Self-Training for Unsupervised Federated Classification | Aijing Yu, Kuangpu Guo, Jian Liang +1 | cs.CV | 2026-10-22 |
| #42 | From Classifier Heads to Encoder Prototypes: Personalized Federated Learning with Head-Derived Clustering | Amirardalan Dehghanpour, Arian Noori, Ehsan Tanghatari +2 | cs.LG | 2026-10-21 |
| #43 | Extending FAIR Principles with Observability for Trustworthy Federated Learning | Hangli Ge, Noboru Koshizuka | cs.LG | 2026-10-21 |
| #44 | The Dynamics of Collapse and Recovery in Clustered Federated Learning | Priyanka Sinha, Snigdhansu Chatterjee | cs.LG | 2026-10-20 |
| #45 | Discount Yourself: Self-inclusive Freshness-weighted Gossip for Decentralised Learning under Client Outages | Qiyuan Wang, Ke Xiao, Christos Anagnostopoulos | cs.LG | 2026-10-20 |
| #46 | PULSE: Personalized Opportunistic Learning for Wearable Devices | Mattia Giovanni Campana, Dariush Salami, Hüseyin Yiğitler +1 | cs.LG | 2026-10-20 |
| #47 | Unsupervised Head Network Personalization for Split Computing via Federated Learning | Yutaro Horikawa, Takayuki Nishio | cs.LG | 2026-10-20 |
| #48 | Privacy-Preserving Personalized Federated Learning (PPP-FL) for Medical Imaging | Md Morshedul Islam, Hossain Shahriar, Alfredo Cuzzocrea | cs.CR | 2026-10-20 |
| #49 | LiBRA: Logit Fingerprints for Byzantine-Robust Client Selection in Federated Learning | Saheed A. Tijani, Frank Jiang, Ming Liu | cs.LG | 2026-10-19 |
| #50 | Learning to Refer: Inference-Time Collaboration in Decentralized Federated Learning | Yuheng Ma, Chendi Wang, Qiong Zhang | cs.LG | 2026-10-19 |