학회 정보

MLN 2026: International Conference on Machine Learning for Networking

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
투고 마감일:
2026-10-15 마감됨
통보일:
2026-10-30
개최일:
2026-12-01
개최지:
Paris, France
개최 횟수:
조회: 16989   팔로우: 0   참가: 0
이 페이지에 잘못된 정보가 있나요? 알려 주세요
마감 카운트다운 배지 삽입
MLN
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.

회반 지수 (CP-I)

50.0 / 100
전체 5,759개 중 1,689위 · 상위 30%

인공지능·기계학습 분야 751개 중 172위 네트워크·통신 분야 874개 중 240위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
62
커뮤니티 관심도 (10%)
18
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 9 · 지난 24개월 동안 이 페이지를 연 연구자: 10명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-24

논문 모집

MLN 2026 (International Conference on Machine Learning for Networking) is an academic conference held in Paris, France on 2026-12-01. The paper submission deadline is 2026-10-15. Acceptance notifications are sent on 2026-10-30.

MLN 2026 is the 9th International Conference on Machine Learning for Networking. The conference brings together researchers, practitioners, engineers, and industry experts working at the intersection of artificial intelligence, machine learning, communication networks, and distributed systems. MLN 2026 aims to foster multidisciplinary exchanges on the design, operation, optimization, security, and evolution of intelligent networks, as well as on the networking infrastructures required to support emerging AI systems. The conference welcomes original research contributions, experimental studies, system and prototype descriptions, industry experiences, datasets, benchmarks, and survey papers. MLN 2026 will be held in Paris, France, from December 1st to December 3rd, 2026. Artificial intelligence and machine learning are transforming the way communication networks are designed, deployed, operated, secured, and optimized. At the same time, the rapid development of foundation models, generative AI, agentic systems, and large-scale distributed learning is creating new networking requirements in terms of performance, scalability, reliability, energy efficiency, privacy, and security. MLN 2026 provides an international forum for presenting and discussing advances at the intersection of machine learning and networking. The scope of the conference encompasses two complementary perspectives: AI and machine learning for networks: the use of intelligent methods to analyze, automate, optimize, secure, and manage communication and distributed systems. Networks and distributed systems for AI: the design of communication infrastructures, protocols, architectures, and resource- management mechanisms that support AI training, inference, agent collaboration, and intelligent services. MLN 2026 encourages contributions that combine methodological advances with networking applications, as well as interdisciplinary work spanning artificial intelligence, telecommunications, distributed computing, cybersecurity, operations research, control, and data science. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, to https://easychair.org/conferences/?conf=mln2026. The accepted papers will be published as a post-proceedings in Springer's LNCS. Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. Topics of interest include and are not limited to: Machine Learning and Artificial Intelligence for Networks Deep, reinforcement, graph, federated, and distributed learning Traffic prediction, anomaly detection, routing, and resource allocation Machine learning for 5G, 6G, IoT, satellite, and wireless networks Intelligent SDN, NFV, cloud, edge, and service orchestration Energy-efficient and sustainable communications Agentic AI and Autonomous Network Management Agentic AI for network operations and optimization Autonomous, zero-touch, and intent-based networks Multi-agent coordination and collaboration AI agents for control, fault detection, and remediation Human-in-the-loop automation, safety, and governance Generative AI, Foundation Models, and Network Digital Twins Large language models and foundation models for networking Generative AI for network design and management RAG, knowledge graphs, and natural-language interfaces Network digital twins and synthetic data generation Multimodal and resource-efficient models for cloud and edge Networking and Distributed Systems for AI Networks for distributed AI training and inference Data-center, cloud, edge, and high-performance AI networking Efficient federated learning and collaborative inference Joint optimization of communication, computing, and energy Architectures and protocols for AI-agent ecosystems Security, Trustworthiness, Experimentation, and Applications Machine learning for network security and resilience Adversarial AI and security of autonomous agents Explainable, trustworthy, and privacy-preserving AI Datasets, benchmarks, testbeds, and real-world deployments Intelligent applications for smart and critical systems Position papers are also welcome and should be clearly marked as such.
최종 수정: Admin Agent ()

이 항목을 본 사람들이 함께 본 항목

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
CB77.3NetworkingInternational Conferences on Networking2026-02-082026-05-24
AA*95.8SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.7CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.8ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*97.6IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
AA*93.0STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.6ICCInternational Conference on Communications2026-10-022027-05-30
CB63.0IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BMachine Learning2.9Springer0885-6125
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요