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arXivFederated learning

FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices

FedSAP uses budget-constrained tri-state channel allocation to partition models into global, private, and dropped channels for heterogeneous federated domain generalization, improving accuracy by up to 4.92 points under 80% pruning.

Wentao Yue, Tianyou Lai, Hongji Li, Qingyu Mao and 1 more

Published Oct 1, 2026 · 0 citations

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NeurIPS 2026Guangdong University of TechnoloFederated learning

Reliable Federated Multi-View Learning via Conflict-Aware Evidence Calibration

Daoyuan Li, Zuyuan Yang, Hao Yang, Jiawen Kang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026NankaiTianjinFederated learning

Confounding-Aware Client Selection in Federated Learning via Causal Mediation Analysis

Xiaoyang Yi, Yuru Bao, Rihao Chang, Binhan Yang and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Southwestern University of FinanThe Hong Kong University of ScieHong Kong PolytechnicWeBank and HKUSTFederated learning

FedVaccine: Knowledge Recall after Spatial-Temporal Catastrophic Forgetting in Federated Continual Learning via Gradient-Based Vaccine

Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Electronic Science and TechnolSingapore ManagementUniversiti MalayaFederated learning

Geometry-Aware Subspace Perturbation for Heterogeneous Federated Learning

Xiangtao Zhang, Hailong Yan, Obed Irihose, Joey Tianyi Zhou and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ShandongNational University of SingaporeNanyang Technological UniversityNanyang TechnologicalFederated learning

Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning

Jingjing Zhu, Zhuang Qi, Lei Meng, Han Yu and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalNational University of SingaporeNanjing University of Posts and Nanyang Technological UniversitySouth China University of TechnoFederated learning

Distributionally Robust Black Box Optimization-based Bidding Strategy in Auction-based Federated Learning

Xiaoli Tang, Zhuang Qi, Ying-Peng Tang, Xianjie Guo and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Beijing University of TechnologyZhejiang NormalFederated learning

Fed-AGA: An Anchor Graph Alignment Framework for Federated Unaligned Multi-view Clustering

Yichi Zhang, bohang sun, Hao Wei, Kai Di and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CornellFederated learning

The Price of Locality: Why Forward-Forward Underperforms Backpropagation?

Zhaoxian Wu, Haichuan Liu, Tianyi Chen

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Beijing University of AeronauticBeihangNanyang TechnologicalFederated learning

Stability-Enhanced Federated Learning with Accelerated Gradient

Tianxiang Chen, Wenjie Hou, Feng Wang, Tiantong Wang and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U AthensAthena Research and Innovation CAthens University of Economics aPolyShapeFederated learning

A typed tensor language for federated learning

Theofilos Mailis, Kalliopi-Christina Despotidou, Konstantinos Filippopolitis, Yannis Foufoulas and 5 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Institute for Data Science in MeRheinisch Westfälische TechnischRWTH AachenFederated learning

Efficient Knowledge Transfer in Federated Bayesian Optimization through Neural Network Surrogates

Alexander Gräfe, Max van Gemmeren, Paul Brunzema, Sebastian Trimpe

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SoutheastTongjiShanghai Jiao TongHong Kong PolytechnicMohamed bin Zayed University of Federated learning

FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning

Zhiqiang Kou, Beidi Wang, Yuling Shi, Shengkun Zhu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Stevens Institute of TechnologyQueen's University BelfastUIUCDepartment of Computer Science, Federated learning

Bayes-pFCL:Bayesian Personalized Federated Continual Learning

qingyang yu, Yang Hua, Hao Wang, Yue Ning and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026ETH ZurichETHZ - ETH ZurichFederated learning

Federated Logic Gate Networks via Boolean Feature Selection

Felix Kunze, Antonio Di Maio

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Shanghai University of Electric Shanghai university of electriciEast China NormalU Technology SydneyFederated learning

FedPeel: Peeling Stabilized Layers for Robust Heterogeneous Federated Learning

Haizhou Du, Lixin Huang, Zonghan Wu, Huan Huo and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalFederated learning

Pointillism: Probing-Based Model Compatibility for Robust Collaborative Machine Learning

Yang Li, Adams Wai Kin Kong

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026EPFLGSAFederated learning

Robust and Scalable Collaborative Learning via Pull-Based Epidemic Communication

Abdellah El Mrini, Sadegh Farhadkhani, Rachid Guerraoui

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026KoreaFederated learning

Constant Term Shrinkage for Federated Learning

Incheol Baek, Minseo Kim, Hyeonmin Kang, Yon Dohn Chung

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TempleState University of New York, StFederated learning

A Doubly Smoothed Decentralized Stochastic Minimax Optimization Algorithm

Xinwen Zhang, Chiu C Tan, Haibin Ling, Hongchang Gao

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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