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Bibliographic Details
Main Authors:	Atrey, Akanksha, Sinha, Ritwik, Mitra, Saayan, Shenoy, Prashant
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2312.15036
Tags:	Add Tag No Tags, Be the first to tag this record!

Byzantine-Robust Decentralized Federated Learning
by: Fang, Minghong, et al.
Published: (2024)

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
by: Hosain, Md. Tanzib, et al.
Published: (2025)

Balancing Privacy, Robustness, and Efficiency in Machine Learning
by: Allouah, Youssef, et al.
Published: (2023)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
by: Xu, Jie, et al.
Published: (2024)

Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
by: Xie, Tianxiu, et al.
Published: (2024)

Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
by: Xu, Heng, et al.
Published: (2024)

Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices
by: Wang, Ziyao, et al.
Published: (2025)

On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation
by: Alhaidari, Abdulrahman, et al.
Published: (2025)

Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
by: Wu, Zhiyuan, et al.
Published: (2024)

Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
by: Tan, Qi, et al.
Published: (2024)

Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities
by: Li, Xi, et al.
Published: (2024)

Identify Backdoored Model in Federated Learning via Individual Unlearning
by: Xu, Jiahao, et al.
Published: (2024)

Efficient Language Model Architectures for Differentially Private Federated Learning
by: Ro, Jae Hun, et al.
Published: (2024)

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)

FedBaF: Federated Learning Aggregation Biased by a Foundation Model
by: Park, Jong-Ik, et al.
Published: (2024)

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
by: Xu, Jiahao, et al.
Published: (2024)

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
by: Zhang, Hangtao, et al.
Published: (2023)

Protecting Split Learning by Potential Energy Loss
by: Zheng, Fei, et al.
Published: (2022)

Towards Trustworthy Federated Learning
by: Basharat, Alina, et al.
Published: (2025)

A Survey on Decentralized Federated Learning
by: Gabrielli, Edoardo, et al.
Published: (2023)

Personalized Federated Learning via Stacking
by: Cantu-Cervini, Emilio
Published: (2024)

Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)

Provably Robust Federated Reinforcement Learning
by: Fang, Minghong, et al.
Published: (2025)

Anomalous Client Detection in Federated Learning
by: Thakur, Dipanwita, et al.
Published: (2024)

UNIDEAL: Curriculum Knowledge Distillation Federated Learning
by: Yang, Yuwen, et al.
Published: (2023)

Toward Malicious Clients Detection in Federated Learning
by: Dou, Zhihao, et al.
Published: (2025)

SecureAFL: Secure Asynchronous Federated Learning
by: Gao, Anjun, et al.
Published: (2026)

Towards Trustworthy Federated Learning with Untrusted Participants
by: Allouah, Youssef, et al.
Published: (2025)

End-to-End Verifiable Decentralized Federated Learning
by: Lee, Chaehyeon, et al.
Published: (2024)

Differentially-Private Multi-Tier Federated Learning
by: Chen, Evan, et al.
Published: (2024)

A Survey for Federated Learning Evaluations: Goals and Measures
by: Chai, Di, et al.
Published: (2023)

SecureSplit: Mitigating Backdoor Attacks in Split Learning
by: Dou, Zhihao, et al.
Published: (2026)

Age Aware Scheduling for Differentially-Private Federated Learning
by: Lin, Kuan-Yu, et al.
Published: (2024)

Poisoning with A Pill: Circumventing Detection in Federated Learning
by: Guo, Hanxi, et al.
Published: (2024)

Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
by: Yang, Hansi, et al.
Published: (2024)

Differentially Private Online Federated Learning with Correlated Noise
by: Zhang, Jiaojiao, et al.
Published: (2024)

AdFL: In-Browser Federated Learning for Online Advertisement
by: Alemari, Ahmad, et al.
Published: (2026)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
by: Xing, Zhibo, et al.
Published: (2024)

Federated Graph Learning with Adaptive Importance-based Sampling
by: Li, Anran, et al.
Published: (2024)

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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