\u5206\u6563\u578b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u4eba\u5de5\u77e5\u80fd\u306b\u304a\u3051\u308b\u753b\u671f\u7684\u306a\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u3067\u3042\u308a\u3001\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u306e\u539f\u7406\u3092AI\u6642\u4ee3\u306b\u62e1\u5f35\u3059\u308b\u3068\u540c\u6642\u306b\u3001\u30b0\u30ed\u30fc\u30d0\u30eb\u306b\u5354\u8abf\u3059\u308b\u77e5\u7684\u751f\u7523\u30b7\u30b9\u30c6\u30e0\u306e\u57fa\u790e\u3092\u7bc9\u304f\u3002\u3053\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\u306f\u3001AI\u306e\u30d0\u30ea\u30e5\u30fc\u30c1\u30a7\u30fc\u30f3\u306b\u304a\u3051\u308b\u91cd\u5927\u306a\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u3082\u306e\u3067\u3001\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u4f9d\u7136\u3068\u3057\u3066\u6700\u3082\u8cc7\u6e90\u96c6\u7d04\u7684\u3067\u6280\u8853\u7684\u306b\u53b3\u3057\u3044\u6bb5\u968e\u3067\u3042\u308a\u3001\u30e2\u30c7\u30eb\u306e\u6700\u7d42\u7684\u306a\u80fd\u529b\u3068\u5b9f\u7528\u7684\u306a\u5fdc\u7528\u3092\u6c7a\u5b9a\u3059\u308b\u3002<\/p>\n
\u73fe\u5728\u30014\u3064\u306e\u4e3b\u8981\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30fb\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u304c\u3053\u306e\u5206\u91ce\u3092\u652f\u914d\u3057\u3066\u3044\u308b\uff1a<\/p>\n
1.**\u96c6\u4e2d\u578b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0**\uff1a\u5f93\u6765\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u306f\u3001\u5358\u4e00\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u304c\u30ed\u30fc\u30ab\u30eb\u306e\u9ad8\u6027\u80fd\u30af\u30e9\u30b9\u30bf\u4e0a\u3067\u3059\u3079\u3066\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u51e6\u7406\u3092\u884c\u3046\u3002\u52b9\u7387\u7684\u3067\u5236\u5fa1\u3057\u3084\u3059\u3044\u53cd\u9762\u3001\u30c7\u30fc\u30bf\u306e\u72ec\u5360\u3001\u30ea\u30bd\u30fc\u30b9\u306e\u969c\u58c1\u3001\u30b7\u30f3\u30b0\u30eb\u30dd\u30a4\u30f3\u30c8\u306e\u8106\u5f31\u6027\u306a\u3069\u306e\u554f\u984c\u304c\u3042\u308b\u3002<\/p>\n
2.**\u5206\u6563\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0**\uff1a\u96c6\u4e2d\u5236\u5fa1\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u8907\u6570\u306e\u30de\u30b7\u30f3\u306b\u30bf\u30b9\u30af\u3092\u5206\u5272\u3059\u308b\u3001\u5927\u898f\u6a21\u30e2\u30c7\u30eb\u5411\u3051\u306e\u4e3b\u6d41\u30a2\u30d7\u30ed\u30fc\u30c1\u3002\u30c7\u30fc\u30bf\u4e26\u5217\u3001\u30e2\u30c7\u30eb\u4e26\u5217\u3001\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u4e26\u5217\u3001\u30c6\u30f3\u30bd\u30eb\u4e26\u5217\u306a\u3069\u306e\u624b\u6cd5\u304c\u3042\u308b\u3002<\/p>\n
3.**\u5206\u6563\u578b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0**\uff1a\u30aa\u30fc\u30d7\u30f3\u6027\u3068\u691c\u95b2\u3078\u306e\u8010\u6027\u3092\u5f37\u8abf\u3059\u308b\u65b0\u305f\u306a\u9053\u7b4b\u3067\u3001\u4fe1\u983c\u3067\u304d\u306a\u3044\u30ce\u30fc\u30c9\u304c\u4e2d\u592e\u306e\u8abf\u6574\u306a\u3057\u306b\u5354\u529b\u3059\u308b\u3002\u4e3b\u306a\u8ab2\u984c\u306b\u306f\u3001\u30c7\u30d0\u30a4\u30b9\u306e\u4e0d\u5747\u4e00\u6027\u3001\u901a\u4fe1\u306e\u30dc\u30c8\u30eb\u30cd\u30c3\u30af\u3001\u4fe1\u983c\u3067\u304d\u308b\u5b9f\u884c\u306e\u6b20\u5982\u3001\u8abf\u6574\u306e\u8907\u96d1\u3055\u306a\u3069\u304c\u3042\u308b\u3002<\/p>\n
4.**\u9023\u5408\u5b66\u7fd2**\uff1a\u5206\u6563\u578b\u5b66\u7fd2\u306e\u5de5\u5b66\u7684\u69cb\u9020\u3068\u5206\u6563\u578b\u30c7\u30fc\u30bf\u306e\u5229\u70b9\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u79fb\u884c\u30e2\u30c7\u30eb\u3067\u3001\u7279\u306b\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u91cd\u8996\u3059\u308b\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u9069\u3057\u3066\u3044\u308b\u3002<\/p>\n
\u5206\u6563\u578b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u5148\u99c6\u7684\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u306f\u3001Prime Intellect\u3001Pluralis.ai\u3001Gensyn\u3001Nous Research\u3001Flock.io\u306a\u3069\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u304c\u30e6\u30cb\u30fc\u30af\u306a\u6280\u8853\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\uff1a<\/p>\n
- \u30d7\u30e9\u30a4\u30e0\u30fb\u30a4\u30f3\u30c6\u30ec\u30af\u30c8**\u306f\u3001PRIME-RL\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3001TOPLOC\u691c\u8a3c\u3001SHARDCAST\u91cd\u307f\u96c6\u7d04\u30d7\u30ed\u30c8\u30b3\u30eb\u3092\u901a\u3058\u3066\u3001\u691c\u8a3c\u53ef\u80fd\u306a\u5f37\u5316\u5b66\u7fd2\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u3044\u308b\u3002
\n- **Pluralis.ai**\u306f\u3001\u30d7\u30ed\u30c8\u30b3\u30eb\u5b66\u7fd2\u30b3\u30f3\u30bb\u30d7\u30c8\u3092\u901a\u3058\u3066\u3001\u975e\u540c\u671f\u30e2\u30c7\u30eb\u4e26\u5217\u6027\u3068\u69cb\u9020\u5727\u7e2e\u3092\u63a2\u6c42\u3057\u3066\u3044\u308b\u3002
\n- Gensyn**\u306f\u3001RL Swarm\u30b7\u30b9\u30c6\u30e0\u3068Proof-of-Learning\u30e1\u30ab\u30cb\u30ba\u30e0\u306b\u3088\u308a\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bf\u30b9\u30af\u306e\u691c\u8a3c\u53ef\u80fd\u306a\u5b9f\u884c\u30ec\u30a4\u30e4\u30fc\u3092\u69cb\u7bc9\u3059\u308b\u3002
\n- \u30cc\u30fc\u30b9\u30fb\u30ea\u30b5\u30fc\u30c1**\u306f\u3001\u30b5\u30a4\u30b1\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068DisTrO\u30aa\u30d7\u30c6\u30a3\u30de\u30a4\u30b6\u3092\u901a\u3058\u3066\u8a8d\u77e5\u9032\u5316\u3092\u91cd\u8996\u3057\u3066\u3044\u308b\u3002
\n- **Flock.io**\u306f\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u30fb\u30d9\u30fc\u30b9\u306e\u9023\u643a\u3067\u30d5\u30a7\u30c7\u30ec\u30fc\u30c6\u30c3\u30c9\u30fb\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u5f37\u5316\u3059\u308b\u3002<\/p>\n
\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u306b\u306f\u3001Bagel\uff08zkLoRA\u691c\u8a3c\uff09\u3001Pond\uff08GNN\u5fae\u8abf\u6574\uff09\u3001RPS Labs\uff08DeFi\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\uff09\u3068\u3044\u3063\u305f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5f8c\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3082\u542b\u307e\u308c\u3001\u30a4\u30f3\u30d5\u30e9\u304b\u3089\u5c55\u958b\u307e\u3067\u306e\u5b8c\u5168\u306a\u30d0\u30ea\u30e5\u30fc\u30c1\u30a7\u30fc\u30f3\u3092\u5f62\u6210\u3057\u3066\u3044\u308b\u3002<\/p>\n
\u3053\u306e\u5206\u91ce\u304c\u767a\u5c55\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u5206\u6563\u578b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u6280\u8853\u7684\u306a\u30cf\u30fc\u30c9\u30eb\u3068\u8a08\u308a\u77e5\u308c\u306a\u3044\u53ef\u80fd\u6027\u306e\u4e21\u65b9\u306b\u76f4\u9762\u3057\u3066\u3044\u308b\u3002\u3059\u3079\u3066\u306e\u30bf\u30b9\u30af\u30bf\u30a4\u30d7\u306b\u9069\u3057\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u304c\u3001LoRA\u306e\u5fae\u8abf\u6574\u3001RLHF\/DPO\u306e\u30a2\u30e9\u30a4\u30e1\u30f3\u30c8\u30bf\u30b9\u30af\u3001\u30a8\u30c3\u30b8\u30c7\u30d0\u30a4\u30b9\u306e\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u3088\u3046\u306a\u8efd\u91cf\u3067\u4e26\u5217\u5316\u53ef\u80fd\u306a\u30b7\u30ca\u30ea\u30aa\u3067\u306f\u7279\u306b\u6709\u671b\u3067\u3042\u308b\u3002\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u306e\u4fe1\u983c\u30e1\u30ab\u30cb\u30ba\u30e0\u3068AI\u306e\u8a08\u7b97\u9700\u8981\u306e\u878d\u5408\u306f\u3001\u6700\u7d42\u7684\u306b\u30aa\u30fc\u30d7\u30f3\u3067\u5354\u8abf\u7684\u306a\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u958b\u767a\u306e\u305f\u3081\u306e\u65b0\u3057\u3044\u30d1\u30e9\u30c0\u30a4\u30e0\u3092\u751f\u307f\u51fa\u3059\u304b\u3082\u3057\u308c\u306a\u3044\u3002<\/p>","protected":false},"excerpt":{"rendered":"
Decentralized training represents a groundbreaking frontier in artificial intelligence, extending blockchain principles into the AI era while laying the foundation for globally collaborative intelligent production systems. This paradigm shift addresses critical challenges in AI’s value chain, where model training remains the most resource-intensive and technically demanding phase, determining a model’s ultimate capabilities and practical applications. Four primary training architectures currently dominate the field: 1. **Centralized Training**: The conventional approach where a single entity conducts all training processes on local high-performance clusters. While efficient and controllable, this method faces issues like data monopolization, resource barriers, and single-point vulnerabilities. 2. **Distributed Training**: The mainstream approach for large models, involving task decomposition across […]<\/p>","protected":false},"author":1,"featured_media":3294,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"footnotes":""},"categories":[35],"tags":[],"class_list":["post-3295","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-market-insight"],"_links":{"self":[{"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/posts\/3295","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/comments?post=3295"}],"version-history":[{"count":0,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/posts\/3295\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/media\/3294"}],"wp:attachment":[{"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/media?parent=3295"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/categories?post=3295"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/theexchain.com\/ja\/wp-json\/wp\/v2\/tags?post=3295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}