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Bibliographic Details
Main Authors:	Kang, Yunseok, Song, Jaeyoung
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.26571
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Optimal Batch Allocation for Wireless Federated Learning
by: Song, Jaeyoung, et al.
Published: (2024)

Personalized Hierarchical Split Federated Learning in Wireless Networks
by: Pervej, Md-Ferdous, et al.
Published: (2024)

Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
by: Wei, Ting, et al.
Published: (2025)

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
by: Xie, Yuhan, et al.
Published: (2026)

MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
by: Li, Xin-Chun, et al.
Published: (2024)

ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge
by: Yang, Xiaohong, et al.
Published: (2026)

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
by: Kim, Jisoo, et al.
Published: (2025)

Curriculum Guided Personalized Subgraph Federated Learning
by: Kang, Minku, et al.
Published: (2025)

FedAH: Aggregated Head for Personalized Federated Learning
by: Zhou, Pengzhan, et al.
Published: (2024)

Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
by: Yin, Keting, et al.
Published: (2024)

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
by: Yang, Xu, et al.
Published: (2024)

Sheaf HyperNetworks for Personalized Federated Learning
by: Nguyen, Bao, et al.
Published: (2024)

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)

HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
by: Chen, Qiyuan, et al.
Published: (2026)

Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)

Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models
by: Yuan, Tianjun, et al.
Published: (2025)

An Operator Splitting View of Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2021)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
by: Song, Jiarui, et al.
Published: (2025)

Heterogeneous Federated Learning via Personalized Generative Networks
by: Taghiyarrenani, Zahra, et al.
Published: (2023)

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)

Bayesian Robust Aggregation for Federated Learning
by: Karakulev, Aleksandr, et al.
Published: (2025)

HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning
by: Youn, Jiseok, et al.
Published: (2026)

SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning
by: Shiranthika, Chamani, et al.
Published: (2024)

SplAgger: Split Aggregation for Meta-Reinforcement Learning
by: Beck, Jacob, et al.
Published: (2024)

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
by: Yang, Yiyuan, et al.
Published: (2025)

CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
by: Xing, Ke, et al.
Published: (2025)

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
by: Zhang, Boning, et al.
Published: (2024)

Data Heterogeneity and Forgotten Labels in Split Federated Learning
by: Tirana, Joana, et al.
Published: (2025)

Semantic Communication-Enhanced Split Federated Learning for Vehicular Networks: Architecture, Challenges, and Case Study
by: Yu, Lu, et al.
Published: (2026)

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
by: Yi, Liping, et al.
Published: (2023)

A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks
by: Gao, Haoran, et al.
Published: (2025)

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
by: Shao, Yumeng, et al.
Published: (2024)

Personalized Federated Continual Learning via Multi-granularity Prompt
by: Yu, Hao, et al.
Published: (2024)

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization
by: Song, Jaewoo, et al.
Published: (2025)

Bayesian Neural Network For Personalized Federated Learning Parameter Selection
by: Luo, Mengen, et al.
Published: (2024)

Leveraging Function Space Aggregation for Federated Learning at Scale
by: Dhawan, Nikita, et al.
Published: (2023)

Byzantine-Robust Federated Learning with Learnable Aggregation Weights
by: Parsa, Javad, et al.
Published: (2025)

Selective Aggregation for Low-Rank Adaptation in Federated Learning
by: Guo, Pengxin, et al.
Published: (2024)

Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning
by: Miao, Xiaoye, et al.
Published: (2025)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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