{"id":463,"date":"2025-07-28T14:46:29","date_gmt":"2025-07-28T14:46:29","guid":{"rendered":"https:\/\/srds-conference.org\/?page_id=463"},"modified":"2026-09-04T10:18:28","modified_gmt":"2026-09-04T10:18:28","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/srds-conference.org\/index.php\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>On the Decidability of Distributed Tasks with Output Sets under Asynchrony and Any Number of Crashes<\/strong><br><em>Timothe Albouy, Antonio Fern\u00e1ndez Anta, Chryssis Georgiou, Nicolas Nicolaou, Junlang Wang<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>TUNE-DPFL: Adaptive Noise Calibration for Differentially Private Federated Learning under Data Heterogeneity and Dynamic Participation<\/strong><br><em>Junmei Cai, Taochun Wang, Fulong Chen, Kuide Wang, Peng Hu, Yonglong Luo<\/em><strong>Cerberus: Latency-Aware Scheduling with <\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Graceful Degradation for Constrained Edge Infrastructures<\/strong><br><em>Yinan Cao, Etienne Rivi\u00e8re, Ramin Sadre<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>ACGMI-FL: Trajectory-Guided Model Inversion Attacks in Federated Learning<\/strong><br><em>Depeng Chen, Xianhai Rong, Hulin Jin<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>From Capabilities to Compromises: A Systematic Study of Host-Boundary Enforcement in CLI Coding Agents<\/strong><br><em>Yu Chen, TaiYan Wang, Binbin Zhao, Boyu Chang, Hong Guo, Fan Shi, Ruipeng Wang, Yi Shen, Yang Li, Shouling Ji, Zulie Pan<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Rethinking Privacy-Preserving Fine-Tuning via High-Throughput Oblivious Dataset Synthesis<\/strong><br><em>Tingyu Fan, Xiaojun Chen, Xudong Chen<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Extending MadSim for Deterministic Byzantine Simulation<\/strong><br><em>Abel Dantas, Carlos Baquero<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Assessing the Effect of Timing Faults in Edge AI Accelerators via Driver-Level Fault Injection<\/strong><br><em>Marcello Cinque, Luigi De Simone, Nike Di Giacomo<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Enabling Differentiated QoS Degradation for Replicated Databases under Failures<\/strong><br><em>Belkis Djeffal, Pierre Bourhis, Romain Rouvoy<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Real-Time Anomaly Detection with Contextual Log Parsing in Distributed Systems<\/strong><br><em>Hadjou Ilyas, Irshad Khan, Young-Woo Kwon<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>HyperShard: A Hypergraph-Based State Sharding Protocol for Smart Contract Transactions in Blockchain<\/strong><br><em>Helang He, Xiao Zhang, Linxuan Su, Wendi Cheng, Xiaonan Zhao, Zhijie Huang<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Baker: A Privacy-Preserving, NIZK-free and Efficient Payment Channel Hub Supporting Bidirectional Channels<\/strong><br><em>Wenjing Li, Zi Li, Yuan Zhang, Sheng Zhong<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>XORbit: Bypassing Update and Repair Penalties in Erasure-Coded KV Stores via Dynamic Decoupling<\/strong><br><em>Xiyuan Liang, Wenzhe Zhu, Chang Feng, Weiqiang Yu, Xinran Zhang, Weifa Liang<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Communication Efficient Semi-Supervised DFL via Quality-Aware Topology Construction in Edge Networks<\/strong><br><em>Su Liu, Hong Shen, KA LUN EDDIE LAW, Chan-Tong LAM<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Auto-MIRES: Automatically Detecting and Recovering Mobile Applications from Intrusions<\/strong><br><em>Valentim Santos, David R Matos, Miguel Correia<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Aqueduct: Combining Rapid Data Migration and Smooth Elasticity in Key-Value Stores<\/strong><br><em>Efstratios Ntallaris, Antonis Papaioannou, Kostas Magoutis<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Speculative Self-stabilizing Mutual Exclusion and Other Problems in Highly Dynamic Networks<\/strong><br><em>St\u00e9phane Devismes, Swan Dubois, Fran\u00e7ois Malenfer, Franck Petit, Mouna Safir<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Lock-free Asynchronously Distributed Linked Lists<\/strong><br><em>Raaghav Ravishankar, Sandeep Kulkarni, Sathya Peri, Gokarna Sharma<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Knox: Fortifying Smart Spaces With Safety Guarantees<\/strong><br><em>Rishabh Menezes, Jadon Schuler, Kaimeng Zhu, Oliver Rogalski, Indranil Gupta<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>HyPPoComp: Flexible Privacy-Preserving Data Processing in Hybrid Environments<\/strong><br><em>Romain de Laage, Pascal Felber, Valerio Schiavoni<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>JeSsi-Bench: A Practical and Extensible Benchmarking Tool for JavaScript Engines<\/strong><br><em>Romain de Laage, Loris Witschard, Pascal Felber, Francisco Maia, Valerio Schiavoni<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Graph Optimization Based Detection of Stealthy Spoofing Attacks in Drone Swarms<\/strong><br><em>Chenrui Wang, Lijuan Wang, Chao Yang, Jun Shen, Huan Wang<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>POLLEN: Byzantine-Tolerant Latency Reporting in Partially Connected Networks<\/strong><br><em>Y\u00e9rom-David Bromberg, J\u00e9r\u00e9mie Decouchant, Manon Sourisseau, Fran\u00e7ois Ta\u00efani<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Beyond Single-Threshold Security: A Multi-Threshold Characterization of Byzantine Reliable Broadcast Protocols<\/strong><br><em>Silvia Bonomi, Lorenzo Di Filippo, Yasmine Lezoul, Sebastien Tixeuil<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>LLM-Based Robustness Testing of Microservice Applications: An Empirical Study<\/strong><br><em>Hrushitha Tigulla, Marco Vieira<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Federated Learning Data Selection: Revealing the Hidden Dangers on Heterogeneous FL Systems<\/strong><br><em>Artur Vieira Pereira, Nawel Benarba, Sara Bouchenak<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Communication-Efficient Secure Aggregation in Decentralized Learning<\/strong><br><em>Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>FedCAR: Coordinated Signal Reconstruction for Byzantine-Robust Federated Learning under Differential Privacy<\/strong><br><em>Zhiying WANG, Maharage Nisansala Sevwandi Perera, Mhd Irvan, Ryosuke Kobayashi, Franziska Zimmer, Rie Shigetomi Yamaguchi<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Zydra: Unlocking Concurrency in NIZK-Based Smart Contracts<\/strong><br><em>Tongqi Wang, Jian Dong, Songyan Ji, Jin Wu<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>TARA: A Two-Step Gradient-Based Reconstruction Attack against Federated Graph Classification<\/strong><br><em>Qianjun Wei, Qiang Li, Binghui Wang, Yuede Ji<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>FortiFed: Fortifying Federated Learning Against Poisoning Attacks under Non-IID Data and High-Proportion Adversaries<\/strong><br><em>Yuanxiang Wu, Peng Cao, Wenyu Qin, Hang Cheng, Sin G Teo, Yonghua Su, Fei Chen<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>BurstTrack: Real-Time Low-Rate DDoS Detection via Temporal and Causal Flow Analysis<\/strong><br><em>Rachel Yamamoto, An Wang<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Coupling Local and Global Parities for Efficient and Reliable Wide-Stripe Storage Systems<\/strong><br><em>Fan Yu, Guodong Li, Si Wu, Weijun Fang, Sihuang Hu<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>CDN Tsunami: Exploiting HTTP\/3-HTTP\/1.1 Conversion for DoS Attacks<\/strong><br><em>Ziyu Lin, Tianlong Su, Yingjie Lin, Prosanta Gope, Yinzhi Cao, Ximeng Liu, Biplab Sikdar<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On the Decidability of Distributed Tasks with Output Sets under Asynchrony and Any Number of CrashesTimothe Albouy, Antonio Fern\u00e1ndez Anta, Chryssis Georgiou, Nicolas Nicolaou, Junlang Wang TUNE-DPFL: Adaptive Noise Calibration for Differentially Private Federated Learning under Data Heterogeneity and Dynamic ParticipationJunmei Cai, Taochun Wang, Fulong Chen, Kuide Wang, Peng Hu, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-463","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/pages\/463","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/comments?post=463"}],"version-history":[{"count":5,"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/pages\/463\/revisions"}],"predecessor-version":[{"id":808,"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/pages\/463\/revisions\/808"}],"wp:attachment":[{"href":"https:\/\/srds-conference.org\/index.php\/wp-json\/wp\/v2\/media?parent=463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}