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Bibliographic Details
Main Authors:	Jin, Dongzi, Xiao, Yong, Li, Yingyu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2505.24728
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Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
by: Shao, Yumeng, et al.
Published: (2024)

Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
by: Atapour, S. Kawa, et al.
Published: (2024)

Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
by: Wang, Yanmeng, et al.
Published: (2025)

EMO: Edge Model Overlays to Scale Model Size in Federated Learning
by: Wu, Di, et al.
Published: (2025)

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
by: Wang, Shuai, et al.
Published: (2025)

Decentralized Federated Learning with Model Caching on Mobile Agents
by: Wang, Xiaoyu, et al.
Published: (2024)

Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
by: Li, Boyuan, et al.
Published: (2024)

Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2024)

Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
by: Hou, Xiangwang, et al.
Published: (2025)

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2022)

Timely Parameter Updating in Over-the-Air Federated Learning
by: Zhu, Jiaqi, et al.
Published: (2025)

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
by: Wu, Zhiyuan, et al.
Published: (2023)

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
by: Fan, Ziqing, et al.
Published: (2024)

Priority-Aware Model-Distributed Inference at Edge Networks
by: Li, Teng, et al.
Published: (2024)

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
by: Chu, Shunfeng, et al.
Published: (2024)

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
by: Elmahallawy, Mohamed, et al.
Published: (2024)

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
by: Wu, Jiajun, et al.
Published: (2023)

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
by: Ju, Zehao, et al.
Published: (2024)

FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
by: Ahmed, Faisal, et al.
Published: (2024)

A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
by: Guo, Wei, et al.
Published: (2024)

PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
by: Guo, Yuanchun, et al.
Published: (2025)

Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
by: Wu, Zhiyuan, et al.
Published: (2025)

Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
by: Yu, Lu, et al.
Published: (2024)

Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
by: Zuo, Shiyuan, et al.
Published: (2024)

Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
by: Lu, Chaoyi, et al.
Published: (2025)

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices
by: Feng, Chao, et al.
Published: (2025)

Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression
by: Zhang, Zhenxiao, et al.
Published: (2024)

FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
by: Howlader, S M Ruhul Kabir, et al.
Published: (2026)

FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
by: Bai, Yuxuan, et al.
Published: (2025)

Federated Learning on Stochastic Neural Networks
by: Tang, Jingqiao, et al.
Published: (2025)

Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients
by: Wang, Xiaolu, et al.
Published: (2024)

A Robust Federated Learning Framework for Undependable Devices at Scale
by: Wang, Shilong, et al.
Published: (2024)

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
by: Li, Yichen, et al.
Published: (2024)

A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)

AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions
by: Qiang, Xianke, et al.
Published: (2025)

FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
by: Guo, Fucheng, et al.
Published: (2025)

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
by: Li, Jian, et al.
Published: (2024)

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning
by: Li, Nan, et al.
Published: (2025)

Hypernetworks for Model-Heterogeneous Personalized Federated Learning
by: Zhang, Chen, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// 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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