BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Tokyo BEGIN:STANDARD DTSTART:19510909T000000 TZOFFSETFROM:+1000 TZOFFSETTO:+0900 TZNAME:JST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260318T144751Z UID:C152CA91-FE9C-4064-9351-067B242D2CBF DTSTART;TZID=Asia/Tokyo:20260826T080000 DTEND;TZID=Asia/Tokyo:20260828T200000 DESCRIPTION:The 2026 International Conference on Future and Intelligent Net working (FINE 2026) will be held in Osaka\, Japan\, from August 26 to Augu st 28\, 2026. (https://www.ieee-fine.org/2026/ )\n\nFINE 2026 aims to brin g together interested parties (universities\, research centers\, industrie s\, and stakeholders) from around the world working in the fields of futur e and intelligent networking to exchange ideas\, discuss new ideas\, devel op innovative and emerging solutions\, and establish new collaborations. F uture Networks\, Artificial Intelligence (AI)\, and 6G are three of the mo st important fields of technology\, which develop independently yet are in tegrated with one another. The FINE represents emerging networking technol ogies\, the integration of AI into network systems\, and supporting networ k technologies for future mobile communications.\n\nThis announcement soli cits submissions to Track 6: Internet of AI Agents\, Embodied AI Networks\ , and Network for AI [Call for Papers](https://www.ieee-fine.org/2026/trac k6.php)\n\nArtificial intelligence is rapidly evolving from centralized cl oud-based systems to distributed\, agentic\, and embodied ecosystems opera ting across data centers\, edge environments\, and physical worlds. The em erging Internet of AI Agents and Embodied AI Networks require rethinking f oundational networking architectures\, protocols\, and control planes to s upport scalable\, low-latency\, secure\, and energy-efficient AI workloads .\n\nThis track invites original research contributions addressing network ing foundations for agentic and embodied AI systems\, as well as network a rchitectures and protocols optimized for AI workloads in data centers\, ed ge environments\, and cyber-physical systems.\n\nWe welcome submissions sp anning theoretical foundations\, system design\, experimental evaluations\ , and real-world deployments.\n\nThe convergence of AI\, networking\, and distributed systems presents an inflection point comparable to the early I nternet era. Supporting agentic and embodied AI at scale demands new abstr actions beyond traditional IP-centric models\, enabling autonomous\, secur e\, and high-performance AI-native networks.\n\nWe invite the community to contribute foundational ideas\, practical systems\, and bold new architec tures shaping the future Internet of AI systems.\n\nScope and Topics of In terest\n\nInternet of AI Agents: Research on networking architectures and protocols enabling distributed AI agents to communicate\, coordinate\, and operate across domains. Topics include (but are not limited to):\n\nAgent -centric network architectures\, Naming\, addressing\, and identity framew orks for AI agents\, Secure inter-agent communication protocols\, Multi-ag ent coordination and distributed consensus\, Cross-domain agent routing an d federation\, Trust\, governance\, and policy enforcement for autonomous agents\, Semantic and intent-aware networking for AI-to-AI interaction\, O bservability and explainability in agent communication\, Edge–cloud orch estration of distributed agents\, Scalability and performance optimization for large agent ecosystems\n\nEmbodied AI Networks and Digital–Physical Interaction: Research addressing communication\, coordination\, and relia bility challenges in robotic\, swarm\, and cyber-physical AI systems. Topi cs include (but are not limited to):\n\nSwarm communication protocols\, Ro bot and drone mesh networking\, MANETs for embodied AI systems\, Ultra-rel iable low-latency communication (URLLC)\, Deterministic and time-sensitive networking (TSN)\, Digital twin synchronization and cyber-physical feedba ck loops\, Distributed sensor fusion over networks\, Resilient AI coordina tion under network partition\, Energy-efficient communication for mobile a nd embedded AI\, Security and safety mechanisms for embodied AI networks\n \nNetworks for AI Workloads: Research on network architectures and protoco ls supporting large-scale AI training and inference.Topics include (but ar e not limited to):\n\nAI-optimized data center network architectures (e.g. \, Clos/leaf–spine fabrics)\, Congestion control for AI workloads\, Dist ributed training and inference networking\, AllReduce and gradient aggrega tion optimization\, RDMA\, RoCE\, and high-performance interconnects\, In- network computing and programmable data planes\, SmartNICs and network off load for AI\, Optical and memory-centric AI fabrics\, CDN and network cach e allocation for AI model distribution\, Model-aware routing and inference placement\, \, scalable interconnects for GPU clusters\, Fault tolerance and fast convergence in AI clusters\n\nCross-Cutting Themes: We particular ly encourage submissions exploring:\n\nClean-slate networking architecture s for AI-native systems\, Energy-efficient and carbon-aware AI networking\ , AI-assisted autonomous network control\, Security and trust in AI contro l planes\, Network-aware AI workload placement\, Formal analysis of stabil ity and convergence in AI fabrics\, Scalable inter-domain architectures fo r AI ecosystems\n\nTrack Chairs:\n\nStefano Salsano\, University of Rome T or Vergata\, Italy\n\nNirmala Shenoy\, Rochester Institute of Technology\, USA\n\nZhiqing Tang\, Beijing Normal University\, China\n\nImportant Date s\n\n- Mar 30\, 2026: Paper Submission Due\n- June 30\, 2026: Author Notif ication\n- July 26\, 2026: Camera-Ready Due\n\nOsaka\, Osaka\, Japan\, Vir tual: https://events.vtools.ieee.org/m/542199 LOCATION:Osaka\, Osaka\, Japan\, Virtual: https://events.vtools.ieee.org/m/ 542199 ORGANIZER:nxsvks@rit.edu SEQUENCE:140 SUMMARY:IEEE FINE 2026 - Track 6: Internet of AI Agents\, Embodied AI Netwo rks\, and Network for AI URL;VALUE=URI:https://events.vtools.ieee.org/m/542199 X-ALT-DESC:Description: <br /><p class="MsoNormal">The <strong>2026 Interna tional Conference on Future and Intelligent Networking (FINE 2026)</strong > will be held in Osaka\, Japan\, from August 26 to August 28\, 2026. (<a href="https://www.ieee-fine.org/2026/">https://www.ieee-fine.org/2026/</a> )</p>\n<p class="MsoNormal">FINE 2026 aims to bring together interested p arties (universities\, research centers\, industries\, and stakeholders) f rom around the world working in the fields of future and intelligent netwo rking to exchange ideas\, discuss new ideas\, develop innovative and emerg ing solutions\, and establish new collaborations. Future Networks\, Artifi cial Intelligence (AI)\, and 6G are three of the most important fields of technology\, which develop independently yet are integrated with one anoth er. The FINE represents emerging networking technologies\, the integration of AI into network systems\, and supporting network technologies for futu re mobile communications.&nbsp\;</p>\n<p class="MsoNormal">This announceme nt solicits submissions to&nbsp\;<strong>Track 6: Internet of AI Agents\, Embodied AI Networks\, and Network for AI </strong><a href="https://www.ie ee-fine.org/2026/track6.php">Call for Papers</a></p>\n<p class="MsoNormal" >Artificial intelligence is rapidly evolving from centralized cloud-based systems to distributed\, agentic\, and embodied ecosystems operating acros s data centers\, edge environments\, and physical worlds. The emerging <st rong>Internet of AI Agents</strong>&nbsp\;and <strong>Embodied AI Networks </strong>&nbsp\;require rethinking foundational networking architectures\, protocols\, and control planes to support scalable\, low-latency\, secure \, and energy-efficient AI workloads.</p>\n<p class="MsoNormal">This track invites original research contributions addressing networking foundations for agentic and embodied AI systems\, as well as network architectures an d protocols optimized for AI workloads in data centers\, edge environments \, and cyber-physical systems.</p>\n<p class="MsoNormal">We welcome submis sions spanning theoretical foundations\, system design\, experimental eval uations\, and real-world deployments.</p>\n<p class="MsoNormal">The conver gence of AI\, networking\, and distributed systems presents an inflection point comparable to the early Internet era. Supporting agentic and embodie d AI at scale demands new abstractions beyond traditional IP-centric model s\, enabling autonomous\, secure\, and high-performance AI-native networks .</p>\n<p class="MsoNormal">We invite the community to contribute foundati onal ideas\, practical systems\, and bold new architectures shaping the fu ture Internet of AI systems.</p>\n<p class="MsoNormal"><strong>Scope and T opics of Interest</strong></p>\n<p class="MsoNormal"><strong>Internet of A I Agents: </strong>Research on networking architectures and protocols enab ling distributed AI agents to communicate\, coordinate\, and operate acros s domains. Topics include (but are not limited to):</p>\n<p>Agent-centric network architectures\, Naming\, addressing\, and identity frameworks for AI agents\, Secure inter-agent communication protocols\, Multi-agent coord ination and distributed consensus\, Cross-domain agent routing and federat ion\, Trust\, governance\, and policy enforcement for autonomous agents\, Semantic and intent-aware networking for AI-to-AI interaction\, Observabil ity and explainability in agent communication\, Edge&ndash\;cloud orchestr ation of distributed agents\, Scalability and performance optimization for large agent ecosystems</p>\n<p class="MsoNormal"><strong>Embodied AI Netw orks and Digital&ndash\;Physical Interaction: </strong>Research addressing communication\, coordination\, and reliability challenges in robotic\, sw arm\, and cyber-physical AI systems. Topics include (but are not limited t o):</p>\n<p>Swarm communication protocols\, Robot and drone mesh networkin g\, MANETs for embodied AI systems\, Ultra-reliable low-latency communicat ion (URLLC)\, Deterministic and time-sensitive networking (TSN)\, Digital twin synchronization and cyber-physical feedback loops\, Distributed senso r fusion over networks\, Resilient AI coordination under network partition \, Energy-efficient communication for mobile and embedded AI\, Security an d safety mechanisms for embodied AI networks</p>\n<p class="MsoNormal"><st rong>Networks for AI Workloads: </strong>Research on network architectures and protocols supporting large-scale AI training and inference.Topics inc lude (but are not limited to):</p>\n<p>AI-optimized data center network ar chitectures (e.g.\, Clos/leaf&ndash\;spine fabrics)\, Congestion control f or AI workloads\, Distributed training and inference networking\, AllReduc e and gradient aggregation optimization\, RDMA\, RoCE\, and high-performan ce interconnects\, In-network computing and programmable data planes\, Sma rtNICs and network offload for AI\, Optical and memory-centric AI fabrics\ , CDN and network cache allocation for AI model distribution\, Model-aware routing and inference placement\, \, scalable interconnects for GPU clust ers\, Fault tolerance and fast convergence in AI clusters</p>\n<p class="M soNormal"><strong>Cross-Cutting Themes: </strong>We particularly encourage submissions exploring:</p>\n<p>Clean-slate networking architectures for A I-native systems\, Energy-efficient and carbon-aware AI networking\, AI-as sisted autonomous network control\, Security and trust in AI control plane s\, Network-aware AI workload placement\, Formal analysis of stability and convergence in AI fabrics\, Scalable inter-domain architectures for AI ec osystems</p>\n<p class="MsoNormal"><strong>Track Chairs:</strong></p>\n<p class="MsoNormal"><strong>Stefano Salsano</strong>\, University of Rome To r Vergata\, Italy</p>\n<p class="MsoNormal"><strong>Nirmala Shenoy</strong >\, Rochester Institute of Technology\, USA</p>\n<p class="MsoNormal"><str ong>Zhiqing Tang</strong>\, Beijing Normal University\, China</p>\n<p clas s="MsoNormal"><strong>Important Dates</strong></p>\n<ul style="margin-top: 0in\;" type="disc">\n<li class="MsoNormal" style="mso-list: l0 level1 lfo 1\; tab-stops: list .5in\;"><strong>Mar 30\, 2026:</strong> Paper Submissi on Due</li>\n<li class="MsoNormal" style="mso-list: l0 level1 lfo1\; tab-s tops: list .5in\;"><strong>June 30\, 2026:</strong> Author Notification</l i>\n<li class="MsoNormal" style="mso-list: l0 level1 lfo1\; tab-stops: lis t .5in\;"><strong>July 26\, 2026:</strong> Camera-Ready Due</li>\n</ul> END:VEVENT END:VCALENDAR