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Bibliographic Details
Main Authors:	Brüel-Gabrielsson, Rickard, Zhu, Jiacheng, Bhardwaj, Onkar, Choshen, Leshem, Greenewald, Kristjan, Yurochkin, Mikhail, Solomon, Justin
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2407.00066
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Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRA
by: Li, Allison, et al.
Published: (2025)

Asymmetry in Low-Rank Adapters of Foundation Models
by: Zhu, Jiacheng, et al.
Published: (2024)

Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems
by: Jaiswal, Shashwat, et al.
Published: (2025)

Slicing Mutual Information Generalization Bounds for Neural Networks
by: Nadjahi, Kimia, et al.
Published: (2024)

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models
by: Chen, Hongyu, et al.
Published: (2026)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference
by: Li, Suyi, et al.
Published: (2024)

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache
by: Wang, Shao, et al.
Published: (2026)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)

Federated LoRA with Sparse Communication
by: Kuo, Kevin, et al.
Published: (2024)

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices
by: Shen, Zheyu, et al.
Published: (2025)

SkyServe: Serving AI Models across Regions and Clouds with Spot Instances
by: Mao, Ziming, et al.
Published: (2024)

ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale
by: Shi, Ge, et al.
Published: (2025)

pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
by: Yi, Liping, et al.
Published: (2023)

ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs
by: Sui, Yifan, et al.
Published: (2025)

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
by: QI, Jiaxing, et al.
Published: (2024)

Data Driven Optimization of GPU efficiency for Distributed LLM Adapter Serving
by: Agullo, Ferran, et al.
Published: (2026)

DeepServe: Serverless Large Language Model Serving at Scale
by: Hu, Junhao, et al.
Published: (2025)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)

Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
by: Wang, Yatong, et al.
Published: (2026)

Improving LoRA in Privacy-preserving Federated Learning
by: Sun, Youbang, et al.
Published: (2024)

DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
by: Ruan, Chaoyi, et al.
Published: (2025)

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
by: Duan, Jiangfei, et al.
Published: (2024)

TridentServe: A Stage-level Serving System for Diffusion Pipelines
by: Xia, Yifei, et al.
Published: (2025)

Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
by: Ni, Yinan, et al.
Published: (2025)

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
by: Ding, Chuntao, et al.
Published: (2024)

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
by: Cho, Yae Jee, et al.
Published: (2024)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)

EconoServe: Maximizing Multi-Resource Utilization with SLO Guarantees in LLM Serving
by: Shen, Haiying, et al.
Published: (2024)

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
by: Jiang, Youhe, et al.
Published: (2025)

ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production
by: Xiang, Yuxing, et al.
Published: (2025)

CascadeServe: Unlocking Model Cascades for Inference Serving
by: Kossmann, Ferdi, et al.
Published: (2024)

PolyServe: Efficient Multi-SLO Serving at Scale
by: Zhu, Kan, et al.
Published: (2025)

SLOs-Serve: Optimized Serving of Multi-SLO LLMs
by: Chen, Siyuan, et al.
Published: (2025)

HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds
by: Lou, Chiheng, et al.
Published: (2025)

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving
by: Zhong, Yinmin, et al.
Published: (2024)

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
by: Zhou, Qihui, 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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