{"id":"https://openalex.org/W4417295286","doi":"https://doi.org/10.48550/arxiv.2512.10305","title":"InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck","display_name":"InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417295286","doi":"https://doi.org/10.48550/arxiv.2512.10305"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.10305","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.10305","pdf_url":"https://arxiv.org/pdf/2512.10305","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.10305","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101644949","display_name":"Quanmin Wei","orcid":"https://orcid.org/0000-0001-5108-3270"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei, Quanmin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006467851","display_name":"Penglin Dai","orcid":"https://orcid.org/0000-0002-3074-4620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Penglin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689766","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-0059-3745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086581834","display_name":"Bingyi Liu","orcid":"https://orcid.org/0000-0001-8403-1776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Bingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006621343","display_name":"Xiao\u2010Feng Wu","orcid":"https://orcid.org/0000-0001-6622-3328"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101644949"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.25220000743865967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.25220000743865967,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.211899995803833,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.03620000183582306,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7886000275611877},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.6586999893188477},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6248000264167786},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5530999898910522},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5127999782562256},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47189998626708984},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.46070000529289246},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.38960000872612}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7886000275611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469000220298767},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.6586999893188477},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6248000264167786},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5530999898910522},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35350000858306885},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449999988079071},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3305000066757202},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3208000063896179},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2983568541","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Information transmission","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.259799987077713}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.10305","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.10305","pdf_url":"https://arxiv.org/pdf/2512.10305","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.10305","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.10305","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.10305","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.10305","pdf_url":"https://arxiv.org/pdf/2512.10305","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5031340677","display_name":null,"funder_award_id":"62172342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5485221756","display_name":null,"funder_award_id":"6217234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6809183074","display_name":null,"funder_award_id":"Project No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G701335782","display_name":null,"funder_award_id":"62372387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Precise":[0],"environmental":[1],"perception":[2,14,20,66,155],"is":[3],"critical":[4],"for":[5,63],"the":[6,16,59,87],"reliability":[7],"of":[8,18,89],"autonomous":[9],"driving":[10],"systems.":[11],"While":[12],"collaborative":[13,65],"mitigates":[15],"limitations":[17],"single-agent":[19],"through":[21,137],"information":[22,81,93,136],"sharing,":[23],"it":[24],"encounters":[25],"a":[26,79],"fundamental":[27],"communication-performance":[28],"trade-off.":[29],"Existing":[30],"communication-efficient":[31,64],"approaches":[32],"typically":[33],"assume":[34],"MB-level":[35],"data":[36],"transmission":[37],"per":[38,169],"collaboration,":[39],"which":[40],"may":[41],"fail":[42],"due":[43],"to":[44,162,172],"practical":[45],"network":[46],"constraints.":[47,97],"To":[48],"address":[49],"these":[50],"issues,":[51],"we":[52],"propose":[53],"InfoCom,":[54],"an":[55],"information-aware":[56],"framework":[57],"establishing":[58],"pioneering":[60],"theoretical":[61],"foundation":[62],"via":[67],"extended":[68],"Information":[69,95],"Bottleneck":[70,96],"principles.":[71],"Departing":[72],"from":[73,160],"mainstream":[74],"feature":[75,143],"manipulation,":[76],"InfoCom":[77,152],"introduces":[78],"novel":[80],"purification":[82],"paradigm":[83],"that":[84,132,151],"theoretically":[85],"optimizes":[86],"extraction":[88],"minimal":[90,109],"sufficient":[91],"task-critical":[92],"under":[94],"Its":[98],"core":[99],"innovations":[100],"include:":[101],"i)":[102],"An":[103],"Information-Aware":[104],"Encoding":[105],"condensing":[106],"features":[107],"into":[108],"messages":[110],"while":[111,156],"preserving":[112],"perception-relevant":[113],"information;":[114],"ii)":[115],"A":[116,129],"Sparse":[117],"Mask":[118],"Generation":[119],"identifying":[120],"spatial":[121],"cues":[122],"with":[123],"negligible":[124],"communication":[125,158],"cost;":[126],"and":[127,166,174],"iii)":[128],"Multi-Scale":[130],"Decoding":[131],"progressively":[133],"recovers":[134],"perceptual":[135],"mask-guided":[138],"mechanisms":[139],"rather":[140],"than":[141],"simple":[142],"reconstruction.":[144],"Comprehensive":[145],"experiments":[146],"across":[147],"multiple":[148],"datasets":[149],"demonstrate":[150],"achieves":[153],"near-lossless":[154],"reducing":[157],"overhead":[159],"megabyte":[161],"kilobyte-scale,":[163],"representing":[164],"440-fold":[165],"90-fold":[167],"reductions":[168],"agent":[170],"compared":[171],"Where2comm":[173],"ERMVP,":[175],"respectively.":[176]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-12-13T00:00:00"}
